From becf7f0de213c8d3c17e6ed02f160d6db1b41644 Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Tue, 20 Dec 2016 19:10:43 +0000 Subject: [PATCH 01/94] Another chunk --- README-es.md | 28 +++++++++++++++------------- 1 file changed, 15 insertions(+), 13 deletions(-) diff --git a/README-es.md b/README-es.md index 38ff7a8dd4..a3f2ab4a2c 100644 --- a/README-es.md +++ b/README-es.md @@ -4,25 +4,27 @@ Version original: [Inglés](README.md) ## Qué es? -Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) a ingeniero de software en Google. +Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) +a ingeniero de software en Google. ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -This long list has been extracted and expanded from **Google's coaching notes**, so these are the things you need to know. -There are extra items I added at the bottom that may come up in the interview or be helpful in solving a problem. Many items are from -Steve Yegge's "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" and are reflected -sometimes word-for-word in Google's coaching notes. +Esta lista tan larga, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que +tienes que saber. +Hay algunas cosas extra que he añadido al final, que pueden aparecer en una entrevista, o ser de ayuda al solucionar +problemas. Extraje muchas de ellas de "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" +de Steve Yegge, y a veces aparecen, palabra por palabra en las notas de coaching de Google. -I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements -from information received from my contact at Google. This is meant for **new software engineers** or those switching from -software/web development to software engineering (where computer science knowledge is required). If you have -many years of experience and are claiming many years of software engineering experience, expect a harder interview. -[Read more here](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). +He reducido lo que tienes que saber de lo que Yegge recomienda. He alterado los requerimientos de Yegge acorde con la +información que me facilitó me contacto en Google. Está orientado para **nuevos ingenieros de software** or para aquellos +que cambian el desarrollo de software o web, por ingeniería de software (donde se necesita conocimiento en ciencias de +computadores). Si tienes muchos años de experiencia y gran parte es experiencia en ingeniería de software, espera que +la entrevista sea más dura. [Lee más aquí](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). -If you have many years of software/web development experience, note that Google views software engineering as -different from software/web development and they require computer science knowledge. +Si tienes muchos años de experiencia en desarrollo de software o web, ten en cuenta que Google ve la ingenieria del software +como algo diferente al desarrollo web, y ellos requiren conocimiento en ciencias de computadores. -If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). +Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de sistemas, estudia más de la lista opcional (redes, seguridad). --- From cf5c932caaa8a7de08b04066cfbb0f9e3ff94bdf Mon Sep 17 00:00:00 2001 From: Severiano Jaramillo Quintanar Date: Wed, 21 Dec 2016 11:30:15 -0600 Subject: [PATCH 02/94] Another little chunk Y just don know how to translate stack and heap to Spanish --- README-es.md | 42 +++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/README-es.md b/README-es.md index a3f2ab4a2c..8f840c7218 100644 --- a/README-es.md +++ b/README-es.md @@ -2,7 +2,7 @@ Version original: [Inglés](README.md) -## Qué es? +## ¿Qué es? Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) a ingeniero de software en Google. @@ -28,11 +28,11 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s --- -## Table of Contents +## Tabla de Contenidos -- [What is it?](#what-is-it) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) +- [¿Qué es?](#qué-es) +- [¿Por qué usarlo?](#por-qué-usarlo) +- [Cómo-usarlo](#cómo-usarlo) - [Get in a Googley Mood](#get-in-a-googley-mood) - [Did I Get the Job?](#did-i-get-the-job) - [Follow Along with Me](#follow-along-with-me) @@ -151,27 +151,27 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s --- -## Why use it? +## ¿Por qué usarlo? -I'm following this plan to prepare for my Google interview. I've been building the web, building -services, and launching startups since 1997. I have an economics degree, not a CS degree. I've -been very successful in my career, but I want to work at Google. I want to progress into larger systems -and get a real understanding of computer systems, algorithmic efficiency, data structure performance, -low-level languages, and how it all works. And if you don't know any of it, Google won't hire you. +Estoy siguiendo este plan para prepararme para mi entrevista en Google. He estado construyendo la web, construyendo +servicios, e iniciando empresas desde 1997. Tengo un grado en economía, no un grado en ciencias de los computadores. He sido +muy exitoso en mi carrera, pero quiero trabajar en Google. Quiero progresar dentro de sistemas más grandes +y tener un entendimiento real de ciencias de los computadores, eficiencia algorítmica, rendimiento de estructuras de datos, +lenguajes de bajo nivel, y cómo todo esto funciona. Y si tú no sabes alguno de estos, Google no te contratará. -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. +Cuando comencé este proyecto, no sabía la diferencia entre **un stack y un heap**, no conocía la notación Big-O, nada acerca de árboles, ni cómo +cruzar una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no sería muy bueno. +Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban +realmente. Yo nunca tuve que manejar memoria a menos que un proceso que yo estaba corriendo diera un error de “out of +memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y +miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. -But after going through this study plan I have high confidence I'll be hired. It's a long plan. It's going to take me -months. If you are familiar with a lot of this already it will take you a lot less time. +Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará +meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo. -## How to use it +## Cómo usarlo -Everything below is an outline, and you should tackle the items in order from top to bottom. +Todo lo que aparece abajo es un plan, y deberías abordar los elementos en orden de arriba a abajo. I'm using Github's special markdown flavor, including tasks lists to check progress. From cc5b9a67d16a15e1851db9c5ccbb6a2bd6a454f7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Andr=C3=A9s=20P=C3=A9rez=20P=C3=A9rez?= Date: Wed, 21 Dec 2016 21:06:32 +0100 Subject: [PATCH 03/94] Chunk 4 Issue #2 --- README-es.md | 27 +++++++++++++-------------- 1 file changed, 13 insertions(+), 14 deletions(-) diff --git a/README-es.md b/README-es.md index 8f840c7218..663ee7bdc0 100644 --- a/README-es.md +++ b/README-es.md @@ -33,9 +33,9 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [¿Qué es?](#qué-es) - [¿Por qué usarlo?](#por-qué-usarlo) - [Cómo-usarlo](#cómo-usarlo) -- [Get in a Googley Mood](#get-in-a-googley-mood) -- [Did I Get the Job?](#did-i-get-the-job) -- [Follow Along with Me](#follow-along-with-me) +- [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía) +- [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google) +- [Sigue el progreso conmigo](#sigue-el-progreso-conmigo) - [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) - [About Google](#about-google) - [About Video Resources](#about-video-resources) @@ -198,26 +198,25 @@ I'm using Github's special markdown flavor, including tasks lists to check progr [More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Get in a Googley Mood +## Envuelvete en la googlemanía -Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize. +Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" (o dos) y mantente enfocado en la meta. -[![future Googler sign](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) +[![Futuro Googler](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) -## Did I Get the Job? +## ¿Cómo conseguí el trabajo en Google? -I haven't applied yet. +!Aun no he aplicado!. -Right now I'm doing programming problems all day long. That will continue for a few weeks, and then I'll -apply through a referral I've been holding onto since February (yes, February). +Ahora estoy haciendo problemas de programación todo el día y continuarña las próximas por un par de semanas más, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). - Thanks for the referral, JP. +Gracias la la perosna que me esta recomendando, JP. -## Follow Along with Me +## Sigue el progreso conmigo -My story: [Why I Studied Full-Time for 8 Months for a Google Interview](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) +Mi breve historía: [¿Por que estudie a tiempo completo por 8 meses para una entrevista en Gooogle?](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) -I'm on the journey, too. Follow along: +Aún sigo estudiando, sigue el progresso en: - **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) - Twitter: [@googleyasheck](https://twitter.com/googleyasheck) From d20b85db0574a5151036db196b479e98f51ebfb2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Andr=C3=A9s=20P=C3=A9rez=20P=C3=A9rez?= Date: Wed, 21 Dec 2016 21:09:55 +0100 Subject: [PATCH 04/94] Fix grammar --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index 663ee7bdc0..effd1104b5 100644 --- a/README-es.md +++ b/README-es.md @@ -208,9 +208,9 @@ Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-intervi !Aun no he aplicado!. -Ahora estoy haciendo problemas de programación todo el día y continuarña las próximas por un par de semanas más, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). +Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). -Gracias la la perosna que me esta recomendando, JP. +Gracias la perosna que me esta recomendando, JP. ## Sigue el progreso conmigo From 11c22e569e3f37f30f85a6479203644a0d075d1f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Andr=C3=A9s=20P=C3=A9rez=20P=C3=A9rez?= Date: Wed, 21 Dec 2016 21:12:44 +0100 Subject: [PATCH 05/94] Add missing "a" --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index effd1104b5..8e5c6a892b 100644 --- a/README-es.md +++ b/README-es.md @@ -210,7 +210,7 @@ Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-intervi Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). -Gracias la perosna que me esta recomendando, JP. +Gracias a la perosna que me esta recomendando, JP. ## Sigue el progreso conmigo From ff258a53c2e47a40a7d15935d6f00f52790e0592 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Andr=C3=A9s=20P=C3=A9rez=20P=C3=A9rez?= Date: Wed, 21 Dec 2016 21:13:48 +0100 Subject: [PATCH 06/94] Fix "persona" --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index 8e5c6a892b..f0fc608988 100644 --- a/README-es.md +++ b/README-es.md @@ -210,7 +210,7 @@ Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-intervi Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). -Gracias a la perosna que me esta recomendando, JP. +Gracias a la persona que me esta recomendando, JP. ## Sigue el progreso conmigo From 8be5452855a3c5fcb593a028c586ed3d4651d28a Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Wed, 21 Dec 2016 22:06:23 +0000 Subject: [PATCH 07/94] Closes #3 --- README-es.md | 114 ++++++++++++++++++++++++++------------------------- 1 file changed, 58 insertions(+), 56 deletions(-) diff --git a/README-es.md b/README-es.md index f0fc608988..de3b94b28c 100644 --- a/README-es.md +++ b/README-es.md @@ -36,10 +36,10 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía) - [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google) - [Sigue el progreso conmigo](#sigue-el-progreso-conmigo) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Google](#about-google) -- [About Video Resources](#about-video-resources) -- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) +- [No pienses que no eres suficientemente inteligente](#no-pienses-que-no-eres-suficientemente-inteligente) +- [Acerca de Google](#acerca-de-google) +- [Acerca de los recursos en vídeo](#acerca-de-los-recursos-en-video) +- [Prepárate para la entrevista](#preparate-para-la-entrevista) - [Pick One Language for the Interview](#pick-one-language-for-the-interview) - [Book List](#book-list) - [Before you Get Started](#before-you-get-started) @@ -226,68 +226,70 @@ Aún sigo estudiando, sigue el progresso en: ![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) -## Don't feel you aren't smart enough -- Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google. -- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) +## No pienses que no eres suficientemente inteligente +- Los ingenieros de Google son inteligentes, pero muchos tienen la inseguridad de que no son suficientemente inteligentes, incluso trabajando en Google. +- [El mito del genio en programación](https://www.youtube.com/watch?v=0SARbwvhupQ) -## About Google +## Acerca de Google -- [ ] For students - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] How Search Works: - - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [How Search Works - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [How Google makes improvements to its search algorithm (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) +- [ ] Para Estudiantes - [Trabaja en Google: Guía de desarrollo técnico](https://www.google.com/about/careers/students/guide-to-technical-development.html) +- [ ] Como funciona el motor de búsqueda: + - [ ] [La evolucion (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) + - [ ] [Como funciona - Historia](https://www.google.com/insidesearch/howsearchworks/thestory/) + - [ ] [Como funciona](https://www.google.com/insidesearch/howsearchworks/) + - [ ] [Como funciona - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) + - [ ] [Como Google hace mejoras en su algoritmo (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) - [ ] Series: - - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [Google's Secret Study To Find Out Our Needs](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [Google Search Will Be Your Next Brain](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [The Deep Mind Of Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Book: How Google Works](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Made by Google announcement - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) + - [ ] [Como Google afrontó el móvil](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) + - [ ] [El estudio secreto de Google para averiguar lo que necesitamos](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) + - [ ] [Google sera tu cerebro](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) + - [ ] [La mente de Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) +- [ ] [Libro: Como funciona Google](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) +- [ ] [Hecho por Google comunicado - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) -## About Video Resources +## Acerca de los recursos en vídeo -Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. -Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. +Algunos vídeos estan disponibles sólo al inscribirte en Coursera, EdX o Lynda.com. Éstos se llaman MOOCs (Massive Open Online Courses, +Cursos en línea abiertos masivos). +A veces las clases no están disponibles, por lo que tienes que esperar un par de meses, lo que significa que no tienes acceso. +Los cursos de Lynda.com no son gratis. - I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. - I like using university lectures. + Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como video s de YouTube + para acompañar los videos de cursos online. + Me gusta usar recursos procedentes de universidades. - -## Interview Process & General Interview Prep +## Prepárate para la entrevista - [ ] Videos: - - [ ] [How to Work at Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [How to Work at Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [How to Work at Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [How to Work at Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] Articles: - - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [Get That Job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - all the things he mentions that you need to know are listed below - - [ ] _(very dated)_ [How To Get A Job At Google, Interview Questions, Hiring Process](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [Phone Screen Questions](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) - -- [ ] Prep Courses: - - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. - -- [ ] Additional (not suggested by Google but I added): - - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Four Steps To Google Without A Degree](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Cracking The Coding Interview Set 1: + - [ ] [Como trabajar en Google: Prepara la entrevista de ingeniero (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) + - [ ] [Como trabajar en Google: Ejemplo de entrevista de ingeniero (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) + - [ ] [Como trabajar en Google - Sesion de Coaching para el Candidato (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) + - [ ] [Reclutadores de Google, comparten trucos para la entrevista (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) + - [ ] [Como trabajar en Google: Preparacion de Currículum (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) + +- [ ] Artículos: + - [ ] [Ser un Googler en tres pasos](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) + - [ ] [Consigue ese trabajo en Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) + - Todas las cosas que menciona que necesitas saber están en una lista más abajo + - [ ] _(Desactualizado)_ [Como conseguir un trabajo en Google, Preguntas de Entrevista, Processo de selección](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) + - [ ] [Preguntas para la selección por teléfono](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) + +- [ ] Cursos de preparacion: + - [ ] [Entrevista para Ingeniero de Software al descubierto (Curso de pago)](https://www.udemy.com/software-engineer-interview-unleashed): + - Prepárate para entrevistas de Ingeniero de Software con consejos de un entrevistador de Google. + +- [ ] Adicional (No sugerido por Google, pero los añadí): + - [ ] [ABC: Programa siempre que puedas](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) + - [ ] [Cuatro pasos a Google sin tener un grado](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) + - [ ] [Whiteboarding (Usar una pizarra blanca)](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) + - [ ] [Que piensa Google de contratar personas, Gestión y Cultura](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) + - [ ] [Whiteboarding efectivo durante entrevistas de programacion](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) + - [ ] Hacer muy bien la entrevista de programación Set 1: - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] How to Get a Job at the Big 4: - - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) + - [ ] [Cracking the Coding Interview con el autor Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) + - [ ] Como conseguir un trabajo en una de las 4 grandes: + - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) + - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/) ## Pick One Language for the Interview From 1cfa144d4c5c9fb5d274d4b115bccc12e5828c04 Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Thu, 22 Dec 2016 07:38:04 +0000 Subject: [PATCH 08/94] Some updates re pr comments --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index de3b94b28c..4fdc75a428 100644 --- a/README-es.md +++ b/README-es.md @@ -4,12 +4,12 @@ Version original: [Inglés](README.md) ## ¿Qué es? -Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) +Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de la computación) a ingeniero de software en Google. ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -Esta lista tan larga, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que +Esta larga lista, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que tienes que saber. Hay algunas cosas extra que he añadido al final, que pueden aparecer en una entrevista, o ser de ayuda al solucionar problemas. Extraje muchas de ellas de "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" From 04ea64f7aa3a996824113f5ec46b37b0a16a5814 Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Fri, 23 Dec 2016 07:19:59 +0000 Subject: [PATCH 09/94] chunk more knowledge --- README-es.md | 70 ++++++++++++++++++++++++++-------------------------- 1 file changed, 35 insertions(+), 35 deletions(-) diff --git a/README-es.md b/README-es.md index 4fdc75a428..04e37e02a1 100644 --- a/README-es.md +++ b/README-es.md @@ -53,9 +53,9 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Stack](#stack) - [Queue](#queue) - [Hash table](#hash-table) -- [More Knowledge](#more-knowledge) - - [Binary search](#binary-search) - - [Bitwise operations](#bitwise-operations) +- [Para saber más](#para-saber-mas) + - [Búsqueda binaria](#busqueda-binaria) + - [Operaciones bit a bit](#operaciones-bit-a-bit) - [Trees](#trees) - [Trees - Notes & Background](#trees---notes--background) - [Binary search trees: BSTs](#binary-search-trees-bsts) @@ -699,42 +699,42 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - get(key) - remove(key) -## More Knowledge +## Para saber más -- ### Binary search - - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implement: - - binary search (on sorted array of integers) - - binary search using recursion +- ### Búsqueda binaria + - [ ] [Búsqueda binaria (video)](https://www.youtube.com/watch?v=D5SrAga1pno) + - [ ] [Búsqueda binaria (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) + - [ ] [Detalle](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) + - [ ] Implementacion: + - Búsqueda binaria (En arrays de enteros ordenados) + - Búsqueda binaria con recursividad -- ### Bitwise operations +- ### Operaciones bit a bit - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Good intro: - [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) - - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) + - [ ] Entiende como manipular bits perfectamente con: &, |, ^, ~, >>, << + - [ ] [Palabras](https://en.wikipedia.org/wiki/Word_(computer_architecture)) + - [ ] Buena introduccion: + [Manipulacion de bits (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) + - [ ] [Tutorial de programacion en C 2-10: Operadores bit a bit (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) + - [ ] [Manipulacion de bits](https://en.wikipedia.org/wiki/Bit_manipulation) + - [ ] [Operacion bit a bit](https://en.wikipedia.org/wiki/Bitwise_operation) - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - - [ ] 2s and 1s complement - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] count set bits - - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] round to next power of 2: - - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] swap values: - - [Swap](http://bits.stephan-brumme.com/swap.html) - - [ ] absolute value: - - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) + - [ ] [El manipulador de Bits](http://bits.stephan-brumme.com/) + - [ ] [El manipulador de bits interactivo](http://bits.stephan-brumme.com/interactive.html) + - [ ] Complementos de a 2 y de a 1 + - [Binario: Mas y Menos (Porqué utilizamos el complemento a 2) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) + - [Complemento a 1](https://en.wikipedia.org/wiki/Ones%27_complement) + - [Complemento a 2](https://en.wikipedia.org/wiki/Two%27s_complement) + - [ ] Contar bits activados + - [$ maneras de contar bits en un byte (video)](https://youtu.be/Hzuzo9NJrlc) + - [Contar bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) + - [Como contar los bits activados en un entero de 32 bits](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) + - [ ] Redondear a la siguiente potencia de 2: + - [Redondear a la siguiente potencia de 2](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) + - [ ] Intercambiar valores: + - [Intercambio](http://bits.stephan-brumme.com/swap.html) + - [ ] Valor absoluto: + - [Entero absoluto](http://bits.stephan-brumme.com/absInteger.html) ## Trees From 8ffdd05bd7bd743ab2872318296e4858f78a897a Mon Sep 17 00:00:00 2001 From: Rodolfo Rodriguez Date: Fri, 30 Dec 2016 18:01:14 -0600 Subject: [PATCH 10/94] Select a language for the interview -> Spanish --- README-es.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README-es.md b/README-es.md index 04e37e02a1..db9d7d20a2 100644 --- a/README-es.md +++ b/README-es.md @@ -291,31 +291,31 @@ Los cursos de Lynda.com no son gratis. - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/) -## Pick One Language for the Interview +## Selecciona un lenguaje para la entrevista -I wrote this short article about it: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) +Escribí un articulo pequeño sobre esto: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) -You can use a language you are comfortable in to do the coding part of the interview, but for Google, these are solid choices: +Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas selecciones son sólidas: - C++ - Java - Python -You could also use these, but read around first. There may be caveats: +También podrías usar estos. Pueden haber advertencias: - JavaScript - Ruby -You need to be very comfortable in the language and be knowledgeable. +Necesitas ser muy cómodo en el lenguaje y conocerlo bien. -Read more about choices: +Lee mas sobre elecciones: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview [See language resources here](programming-language-resources.md) -You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. +Verás algo de C, C++, y aprendizaje Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve abajo. ## Book List From c525ec8c67066d7aeaed1d803c81465997547546 Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Mon, 26 Dec 2016 17:07:20 +0000 Subject: [PATCH 11/94] Chunk 9 --- README-es.md | 356 +++++++++++++++++++++++++-------------------------- 1 file changed, 178 insertions(+), 178 deletions(-) diff --git a/README-es.md b/README-es.md index 04e37e02a1..db604f5a4d 100644 --- a/README-es.md +++ b/README-es.md @@ -145,7 +145,7 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Discrete math](#discrete-math) - [Machine Learning](#machine-learning) - [Go](#go) -- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +- [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) - [Video Series](#video-series) - [Computer Science Courses](#computer-science-courses) @@ -891,7 +891,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) -If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +If you need more detail on this subject, see "Sorting" section in [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) ## Graphs @@ -957,44 +957,44 @@ Graphs can be used to represent many problems in computer science, so this secti You'll get more graph practice in Skiena's book (see Books section below) and the interview books -## Even More Knowledge - -- ### Recursion - - [ ] Stanford lectures on recursion & backtracking: - - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - when it is appropriate to use it - - how is tail recursion better than not? - - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - -- ### Object-Oriented Programming - - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - - Can skip this if you have a great grasp of OO and OO design practices. - - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] SOLID OOP Principles: - - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - -- ### Design patterns - - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Learn these patterns: +## Aún más conocimiento + +- ### Recursividad + - [ ] Artículos de Stanford acerca de recursividad y backtracking: + - [ ] [Artículo 8 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) + - [ ] [Artículo 9 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) + - [ ] [Artículo 10 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) + - [ ] [Artículo 11 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) + - Cuando es apropiado usarla + - Recursividad de cola + - [ ] [Que es recursividad de cola Por qué es tan mala?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) + - [ ] [Recursividad de cola (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) + +- ### Programacion orientada a objetos + - [ ] [Opcional: UML 2.0 (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) + - [ ] Ingeniería de Software orientada a objetos (OOSE): Desarrollo de Software usando UML y Java (21 videos): + - Puedes obviar esto si tienes un buen conocimiento de prácticas de diseño de POO. + - [OOSE: Desarrollo de Software usando UML y Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] Principios SOLID de Desarrollo de Software: + - [ ] [Principios SOLID en diseño ágil y orientado a objetos, por Bob Martin (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) + - [ ] [Patrones de diseño SOLID en C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) + - [ ] [Principios SOLID (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) + - [ ] S - [Single Responsibility Principle (Principio de responsabilidad única)](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) + - [Para saber más](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) + - [ ] O - [Open/Closed Principle (Principio de abierto/cerrado)](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) + - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) + - [ ] L - [Liskov Substitution Principle (Principio de sustitucion de Liskov)](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) + - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) + - [ ] I - [Interface segregation principle (Principio de segregacion de interfaces)](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use + - [Principio de segregacion de interfaces en 5 minutos (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) + - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) + - [ ] D -[Dependency Inversion principle ()Principio de Inversion de Dependencia](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. + - [Qué es el principio de inversion de dependencia y por qué es importante?](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) + - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) + +- ### Patrones de diseño + - [ ] [Breve repaso de UML (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) + - [ ] Apréndete estos patrones: - [ ] strategy - [ ] singleton - [ ] adapter @@ -1012,152 +1012,152 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] iterator - [ ] composite - [ ] flyweight - - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - -- ### Combinatorics (n choose k) & Probability - - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) + - [ ] [Capítulo 6 (Parte 1) - Patrones (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) + - [ ] [Capítulo 6 (Parte 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Capítulo 6 (Parte 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Series de videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) + - [ ] [Patrones Head First](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) + - Sé que "Design Patterns: Elements of Reusable Object-Oriented Software" es el libro más relevante, pero "Head First" esta muy bien para los que empiezan con POO + - [ ] [Link interesante: 101 Patrones de diseno & Trucos para desarrolladores](https://sourcemaking.com/design-patterns-and-tips) + +- ### Combinatoria (n en k) & Probabilidad + - [ ] [Habilidades matemáticas: Factoriales, Permutaciones y Combinaciones (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) + - [ ] [Probabilidad (un video de Make School)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) + - [ ] [More Probability and Markov Chains (un video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - [ ] Khan Academy: - - Course layout: - - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the videos - 41 (each are simple and each are short): - - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - -- ### NP, NP-Complete and Approximation Algorithms - - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, - and be able to recognize them when an interviewer asks you them in disguise. - - Know what NP-complete means. - - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) + - Estructura del curso: + - [ ] [Probabilidad teórica básica](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) + - Solo los 41 videos - (Son simples y cortos): + - [ ] [Probabilidad Explicación (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) + +- ### NP, NP-Completo and Algoritmos de aproximación + - Conocer los problemas NP-Completo más famosos, como el problema del viajante o el de la mochila, y ser capaz de + reconocerlos cuando un entrevistador pregunta por ellos disimuladamente. + - Saber que es y en que consiste un problema NP-Completo. + - [ ] [Complejidad Computacional (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - [ ] Simonson: - - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) + - [ ] [Algoritmos voraces II & Introducción a NP-Completo (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) + - [ ] [NP-Completo II & Reducciones (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP-Completo III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP-Completo IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvik discusses near-optimal solutions to traveling salesman problem: - - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Pages 1048 - 1140 in CLRS if you have it. - -- ### Caches - - [ ] LRU cache: - - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - - [ ] CPU cache: - - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- ### Processes and Threads - - [ ] Computer Science 162 - Operating Systems (25 videos): - - for processes and threads see videos 1-11 - - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Covers: - - Processes, Threads, Concurrency issues - - difference between processes and threads - - processes - - threads - - locks - - mutexes - - semaphores - - monitors - - how they work - - deadlock - - livelock - - CPU activity, interrupts, context switching - - Modern concurrency constructs with multicore processors - - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - - Context switching - - How context switching is initiated by the operating system and underlying hardware - - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] concurrency in Python (videos): - - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) - - [reference](http://www.dabeaz.com/GIL) - - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) - - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - -- ### Papers - - These are Google papers and well-known papers. - - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. - - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - replaced by Colossus in 2012 - - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - mostly replaced by Cloud Dataflow? - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) - - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) - - paper not available - - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - - [ ] 2013: Spanner: Google’s Globally-Distributed Database: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [video](https://www.usenix.org/node/170855) - - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) - - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) - - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) + - [ ] [CSE373 2012 - Lecture 23 - Introducción a NP-Completo (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) + - [ ] [CSE373 2012 - Lecture 24 - Demostrar problemas NP-Completo (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 25 - Problema NP-Completo (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [Complejidad: P, NP, NP-completo, Reducciones (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) + - [ ] [Complejidad: Algoritmos de aproximación (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) + - [ ] [Complejidad: Algoritmos de parámetro fijo (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - Peter Norvik habla sobre soluciones casi óptimas para el problema del viajante: + - [Cuaderno Jupyter](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) + - Páginas 1048 - 1140 de [CLRS](https://en.wikipedia.org/wiki/Introduction_to_Algorithms) si lo tienes a mano. + +- ### Memoria Caché + - [ ] Menos usado recientemente (LRU): + - [ ] [La magia de la caché LRU (100 días de desarrollador de Google) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) + - [ ] [Implementando LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) + - [ ] [LeetCode - 146 Caché LRU (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) + - [ ] Caché de la CPU: + - [ ] [MIT 6.004 L15: La jerarquía de la memoria (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) + - [ ] [MIT 6.004 L16: Caché - Problemas y situaciones (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + +- ### Hilos y procesos + - [ ] Ciencias de la computación 162 - Sistemas operativos (25 videos): + - Para hilos y procesos ver los videos 1-11 + - [Sistemas Operativos y Programación de Sistemas (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) + - [Cuál es la diferencia entre un proceso y un hilo?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) + - Cubre / Abarca: + - Procesos, hilos y Concurrencia + - Diferencia entre hilos y procesos + - Procesos + - Hilos + - Bloqueos + - Mutexes (Cierre de exclusión mutua) + - Semáforos + - Monitores de concurrencia + - Como funcionan + - Deadlock (Bloqueo mutuo) + - Livelock (Bloqueo mutuo, variante de deadlock) + - Actividad de la CPU, Interrupciones, cambios de contexto + - Concurrencia moderna con procesadores multi núcleo + - Demanda de recursos de un proceso (memoria: Códigos, almacenamiento estático, stack, heap, descriptores de archivo e I/O (Entrada / Salida)) + - Demanda de recursos de los hilos (Comparte los anteriores, a excepción de stack, con otros hilos en el mismo proceso, pero cada uno tiene su propio contador de programa, contador de stack, registros, y stack) + - Forking realmente es copia en escritura (read-only) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa. + - Cambio de contextos + - Como se inicia el cambio de contexto por el sistema operativo y el hardware que hay debajo + - [ ] [Hilos en C++ (Serie - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) + - [ ] Concurrencia en Python (videos): + - [ ] [Series pequeñas acerca de hilos](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) + - [ ] [Hilos en Python](https://www.youtube.com/watch?v=Bs7vPNbB9JM) + - [ ] [Entendiendo GIL en Python (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) + - [Referencia](http://www.dabeaz.com/GIL) + - [ ] [David Beazley - Concurrencia en Python desde el principio: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) + - [ ] [Keynote David Beazley - Temas interesantes (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) + - [ ] [Mutex en Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) + +- ### Artículos y publicaciones + - Estos provienen de Google y otros muy conocidos. + - Leerlos de principio a fin, tratando de comprenderlos complementamente, quizás te lleve más tiempo del que puedas disponer. Te recomiendo que seas selectivo con los artículos y sus secciones. + - [ ] [1978: Comunicación en procesos secuenciales](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) + - [Implementación en GO](https://godoc.org/github.com/thomas11/csp) + - [Te gustan los artículos clásicos?](https://www.cs.cmu.edu/~crary/819-f09/) + - [ ] [2003: El sistema de archivos de Google](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) + - Reemplazado por Colossus en 2012 + - [ ] [2004: MapReduce: Procesamiento de datos simplificado en grandes clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) + - casi reemplazado por Cloud Dataflow? + - [ ] [2007: Lo que cualquier programador debe saber acerca de la memoria (bastante extenso, el autor recomienda saltarse algunas secciones)](https://www.akkadia.org/drepper/cpumemory.pdf) + - [ ] [2012: Colossus de Google](https://www.wired.com/2012/07/google-colossus/) + - Publicaciones no disponible + - [ ] 2012: AddressSanitizer: Un sanity check muy rápido para direcciones: + - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) + - [Video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) + - [ ] 2013: Spanner: La base de datos distribuida de Google: + - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) + - [Video](https://www.usenix.org/node/170855) + - [ ] [2014: Machine Learning: El alto tipo de interés de la deuda tecnológica (The High-Interest Credit Card of Technical Debt)](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) + - [ ] [2015: Líneas de ejecución continuas en Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) + - [ ] [2015: Alta disponibilidad a gran escala: Construyendo la infraestructura de datos para los anuncios y publicidad de Google](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) + - [ ] [2015: TensorFlow: Machine Learning a gran escala en sistemas distribuidos heterogéneos](http://download.tensorflow.org/paper/whitepaper2015.pdf ) + - [ ] [2015: Como los desarrolladores buscan código: Un caso de estudio](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) + - [ ] [2016: Borg, Omega, y Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - ### Testing - - To cover: - - how unit testing works - - what are mock objects - - what is integration testing - - what is dependency injection - - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) - - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Dependency injection: - - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - -- ### Scheduling - - in an OS, how it works - - can be gleaned from Operating System videos - -- ### Implement system routines - - understand what lies beneath the programming APIs you use - - can you implement them? - -- ### String searching & manipulations - - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) + - Abarcar / Cubrir: + - Como funciona el testing + - Que son mocks de objetos + - Que son tests de integracion + - Que es inyección de dependencias + - [ ] [Testing de Software Ágil con James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) + - [ ] [Artículo de James Bach acerca de Testing de Software (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) + - [ ] [Steve Freeman - Desarrollo conducido por tests (Test-Driven Development, TDD) - Eso no fue lo que quisimos decir (video)](https://vimeo.com/83960706) + - [Diapositivas](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) + - [ ] [TDD está muerto. Larga vida al testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) + - [ ] [TDD está muerto? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) + - [ ] [Series (152 videos) - No todos son necesarios (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [TDD para Web con Python](http://www.obeythetestinggoat.com/pages/book.html#toc) + - [ ] Inyeccion de dependencias: + - [ ] [Video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) + - [ ] [Tao del Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) + - [ ] [Como escribir tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) + +- ### Planificador + - En el sistema operativo, como funciona + - Puede ser extraído de videos acerca de sistemas operativos + +- ### Implementar rutinas del sistema + - Entender que hay debajo de las APIs de programación que utilizas + - Las puedes implementar? + +- ### Búsqueda de strings y manipulación + - [ ] [Sedgewick - Array de sufijos (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) + - [ ] [Sedgewick - Búsqueda de substrings (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [1. Introducción a la búsqueda de substrings](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [2. Búsqueda de substrings por fuerza bruta](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) + - [ ] [Búsqueda en texto por patrón (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + Si necesitas más detalles acerca de este tema, ve a la sección "String Matching" en [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) --- @@ -1881,7 +1881,7 @@ You're never really done. -- -## Additional Detail on Some Subjects +## Información adicional en algunos temas I added these to reinforce some ideas already presented above, but didn't want to include them above because it's just too much. It's easy to overdo it on a subject. From cbf7beb8a84419dffa1d9edb767465df36a8004c Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Mon, 2 Jan 2017 13:56:01 +0100 Subject: [PATCH 12/94] README-es.md moved to translations folder --- README-es.md => translations/README-es.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) rename README-es.md => translations/README-es.md (99%) diff --git a/README-es.md b/translations/README-es.md similarity index 99% rename from README-es.md rename to translations/README-es.md index a9bd641ff3..6a0e5563fb 100644 --- a/README-es.md +++ b/translations/README-es.md @@ -1,6 +1,6 @@ # Google Interview University -Version original: [Inglés](README.md) +Version original: [Inglés](../README.md) ## ¿Qué es? @@ -313,7 +313,7 @@ Lee mas sobre elecciones: - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview -[See language resources here](programming-language-resources.md) +[See language resources here](../programming-language-resources.md) Verás algo de C, C++, y aprendizaje Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve abajo. @@ -369,7 +369,7 @@ If you have more time (I want this book): If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. **You can skip all the video lectures in this project**, unless you'd like a review. -[Additional language-specific resources here.](programming-language-resources.md) +[Additional language-specific resources here.](../programming-language-resources.md) ### C++ From a749ece79534ffcec2e1ac56177d196da31bb7df Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Mon, 2 Jan 2017 13:58:34 +0100 Subject: [PATCH 13/94] MiguelMB comment --- translations/README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-es.md b/translations/README-es.md index 6a0e5563fb..06d3c75c37 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -254,7 +254,7 @@ Cursos en línea abiertos masivos). A veces las clases no están disponibles, por lo que tienes que esperar un par de meses, lo que significa que no tienes acceso. Los cursos de Lynda.com no son gratis. - Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como video s de YouTube + Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como videos de YouTube para acompañar los videos de cursos online. Me gusta usar recursos procedentes de universidades. From d205c31357c42973663c4866dda5974b866e104e Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Mon, 2 Jan 2017 14:43:37 +0100 Subject: [PATCH 14/94] Chunk branch updated --- translations/README-es.md | 52 +++++++++++++++++++-------------------- 1 file changed, 26 insertions(+), 26 deletions(-) diff --git a/translations/README-es.md b/translations/README-es.md index 06d3c75c37..f2e810d954 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -32,7 +32,7 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [¿Qué es?](#qué-es) - [¿Por qué usarlo?](#por-qué-usarlo) -- [Cómo-usarlo](#cómo-usarlo) +- [Cómo usarlo](#cómo-usarlo) - [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía) - [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google) - [Sigue el progreso conmigo](#sigue-el-progreso-conmigo) @@ -40,8 +40,8 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Acerca de Google](#acerca-de-google) - [Acerca de los recursos en vídeo](#acerca-de-los-recursos-en-video) - [Prepárate para la entrevista](#preparate-para-la-entrevista) -- [Pick One Language for the Interview](#pick-one-language-for-the-interview) -- [Book List](#book-list) +- [Escoge un lenguaje para la entrevista](#escoge-un-lenguaje-para-la-entrevista) +- [Lista de libros](#lista-de-libros) - [Before you Get Started](#before-you-get-started) - [What you Won't See Covered](#what-you-wont-see-covered) - [Prerequisite Knowledge](#prerequisite-knowledge) @@ -291,53 +291,53 @@ Los cursos de Lynda.com no son gratis. - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/) -## Selecciona un lenguaje para la entrevista +## Escoge un lenguaje para la entrevista Escribí un articulo pequeño sobre esto: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) -Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas selecciones son sólidas: +Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas son buenas elecciones: - C++ - Java - Python -También podrías usar estos. Pueden haber advertencias: +También podrías usar éstos, pero busca información primero. Puede haber advertencias: - JavaScript - Ruby -Necesitas ser muy cómodo en el lenguaje y conocerlo bien. +Debes sentirte muy cómodo con el lenguaje y ser experto. -Lee mas sobre elecciones: +Lee más acerca de opciones: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview -[See language resources here](../programming-language-resources.md) +[Ve recursos de programas aquí](../programming-language-resources.md) -Verás algo de C, C++, y aprendizaje Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve abajo. +Verás algunos materiales de aprendizaje de C, C++ y Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve al final. -## Book List +## Lista de libros -This is a shorter list than what I used. This is abbreviated to save you time. +Ésta es una lista más corta que la que yo usé. Está abreviada para ahorrarte tiempo. -### Interview Prep +### Preparación para la entrevista -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C++ and Java - - recommended in Google candidate coaching - - this is a good warm-up for Cracking the Coding Interview - - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - - recommended on the [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) - - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview". +- [ ] [Entrevistas de Programación Expuestas: Secretos para Conseguir tu Próximo Trabajo, 2a Edición](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) + - respuestas en C++ y Java + - recommendado en entrenamiento para candidato Goole + - éste es un buen calentamiento para Cracking la Entrevista de Programación + - no muy difícil, la mayoría de los problemas podrían ser más fáciles que lo que verás en una entrevista (por lo que he leído) +- [ ] [Cracking la Entrevista de Programación, 6a Edición](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - respuestas en Java + - recommendado en el [sitio de Google Careers](https://www.google.com/about/careers/how-we-hire/interview/) + - si ves personas que hacen referencia a "El Currículum Google", éste era un libro reemplazado por "Cracking la Entrevista de Programación". -If you have tons of extra time: +Si tienes mucho tiempo extra: -- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - - all code is in C++, very good if you're looking to use C++ in your interview - - a good book on problem solving in general. +- [ ] [Elementos de las Entrevistas de Trabajo](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) + - todo el código está en C++, muy bueno si has optado por C++ en tu entrevista + - un libro sobre solución de problemas en general. ### Computer Architecture From abfb8f35b345cdcfc4c859238198071d2594884f Mon Sep 17 00:00:00 2001 From: Severiano Jaramillo Quintanar Date: Mon, 2 Jan 2017 21:24:15 -0600 Subject: [PATCH 15/94] Traslated chunk 6.2 closes #31 Translated Before you Get Started and What you Won't See Covered --- translations/README-es.md | 64 +++++++++++++++++++-------------------- 1 file changed, 32 insertions(+), 32 deletions(-) diff --git a/translations/README-es.md b/translations/README-es.md index f2e810d954..87097080ea 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -42,8 +42,8 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Prepárate para la entrevista](#preparate-para-la-entrevista) - [Escoge un lenguaje para la entrevista](#escoge-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) -- [Before you Get Started](#before-you-get-started) -- [What you Won't See Covered](#what-you-wont-see-covered) +- [Antes de que Comiences](#antes-de-que-comiences) +- [Lo que no Verás Cubierto](#lo-que-no-verás-cubierto) - [Prerequisite Knowledge](#prerequisite-knowledge) - [The Daily Plan](#the-daily-plan) - [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) @@ -451,60 +451,60 @@ OR: - Would rather spend time on coding problems from another book or online coding problems. -## Before you Get Started +## Antes de que Comiences -This list grew over many months, and yes, it kind of got out of hand. +Esta lista creció durante muchos meses, y sí, más o menos se salió de mis manos. -Here are some mistakes I made so you'll have a better experience. +Aquí están algunos errores que cometí para que tú tengas una mejor experiencia. -### 1. You Won't Remember it All +### 1. No lo Recordarás Todo -I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going -through my notes and making flashcards so I could review. +Ví horas de videos y tomé muchas notas, y meses después había muchas cosas que no recordaba. Pasé tres días repasando +mis notas y haciendo tarjetas de memoria para así poder repasar. -Read please so you won't make my mistakes: +Lee por favor para que no cometas mis errores: -[Retaining Computer Science Knowledge](https://googleyasheck.com/retaining-computer-science-knowledge/) +[Reteniendo Conocimiento en Ciencias de la Computación](https://googleyasheck.com/retaining-computer-science-knowledge/) -### 2. Use Flashcards +### 2. Usa Tarjetas de Memoria -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. +Para resolver el problema, hice un sitio para pequeñas tarjetas de memoria donde podía agregar tarjetas de 2 tipos: generales y de código. +Cada tarjeta tiene un formato diferente. -I made a mobile-first website so I could review on my phone and tablet, wherever I am. +Hice un sitio web para móviles para que pudiera revisar en mi teléfono o tableta, donde sea que estaba. -Make your own for free: +Haz el tuyo gratis: -- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. +- [Repositorio de sitio de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards) +- [Mi base de datos de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Toma en cuenta que yo fui muy lejos y tengo tarjetas cubriendo todo desde lenguaje ensamblador y Python trivia hasta aprendizaje de máquinas y estadística. Es mucho para lo requerido por Google. -**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the -same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in -your brain. +**Nota en tarjetas de memoria:** La primera vez que te das cuenta que conoces la respuesta, no la marques como conocida. Tienes que ver la +misma carta y responderla correctamente muchas veces antes de que realmente la conozcas. La repetición pondrá ese conocimiento más profundo en +tu cerebro. -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. -It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. +Una alternativa a usar mi sitio de tarjetas de memoria es [Anki](http://ankisrs.net/), el cuál me han recomendado numerosas veces. Usa un sistema de repetición que te ayuda a recordar. +Es amigable con el usuario, disponible en todas las plataformas y tiene un sistema de sincronización en la nube. Cuesta $25 USD para iOS pero es gratis para otras plataformas. -My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) +Mi base de datos de tarjetas de memoria en formato Anki: https://ankiweb.net/shared/info/25173560 (gracias [@xiewenya](https://github.com/xiewenya)) -### 3. Review, review, review +### 3. Revisa, revisa, revisa -I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. +Yo mantengo un conjunto de hojas de trucos en ASCII, pila OSI, notación Big-O, y más. Las estudio cuando tengo un poco de tiempo libre. -Take a break from programming problems for a half hour and go through your flashcards. +Toma un descanso de problemas de programación por media hora y revisa tus tarjetas de memoria. -### 4. Focus +### 4. Enfócate -There are a lot of distractions that can take up valuable time. Focus and concentration are hard. +Hay muchas distracciones que pueden quitarte tiempo valioso. El enfoque y la concentración son difíciles. -## What you won't see covered +## Lo que no Verás Cubierto -This big list all started as a personal to-do list made from Google interview coaching notes. These are prevalent -technologies but were not mentioned in those notes: +Esta gran lista comenzó como una lista personal de cosas por hacer hecha de notas de entrenamiento para entrevista en Google. Estas son tecnologas predominantes +pero no fueron mencionadas en esas notas. - SQL - Javascript -- HTML, CSS, and other front-end technologies +- HTML, CSS, y otras tecnologías de front-end. ## The Daily Plan From ee31f725643a8ade85ccbbc5187db922cad7cc24 Mon Sep 17 00:00:00 2001 From: Alan Garcia Date: Mon, 2 Jan 2017 22:29:17 -0700 Subject: [PATCH 16/94] Translate chunk 15 --- README.md | 76 +++++++++++++++++++++++++++---------------------------- 1 file changed, 38 insertions(+), 38 deletions(-) diff --git a/README.md b/README.md index c5fc22cd3e..c71d60f39c 100644 --- a/README.md +++ b/README.md @@ -123,10 +123,10 @@ If you want to be a reliability engineer or systems engineer, study more from th - [Entropy](#entropy) - [Cryptography](#cryptography) - [Compression](#compression) - - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) - - [Computer Security](#computer-security) - - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) + - [Redes](#redes) (si tienes experiencia en redes o quieres ser ingeniero de sistemas, espera preguntas) + - [Seguridad informática](#seguridad-informática) + - [Recolección de basura](#recolección-de-basura) + - [Programación paralela](#programación-paralela) - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) - [Fast Fourier Transform](#fast-fourier-transform) - [Bloom Filter](#bloom-filter) @@ -1613,45 +1613,45 @@ You're never really done. - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know +- ### Redes + - **si tienes experiencia en redes o quieres ser ingeniero en sistemas, espera preguntas** + - pero de cualquier forma es bueno saber lo siguiente - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) + - [ ] [UDP y TCP: Comparación de protocolos de transporte](https://www.youtube.com/watch?v=Vdc8TCESIg8) + - [ ] [TCP/IP y el modelo OSI, ¡explicado!](https://www.youtube.com/watch?v=e5DEVa9eSN0) + - [ ] [Transmisión de paquetes a través del Internet. Tutorial en redes y TCP/IP.](https://www.youtube.com/watch?v=nomyRJehhnM) - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) + - [ ] [SSL y HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - -- ### Computer Security - - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) - - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) - - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - -- ### Parallel Programming + - [ ] [Serie de vídeos (21 vídeos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [Subredes desmistificadas - Notación CIDR Parte 5](https://www.youtube.com/watch?v=t5xYI0jzOf4) + +- ### Seguridad informática + - [MIT (23 vídeos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Introducción, modelos de amenaza](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Ataques de secuestro de control](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) + - [ ] [Desbordamientos de búfer: ataques y defensas](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) + - [ ] [Separación de privilegios](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Capacidades](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Aislamiento de código nativo](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) + - [ ] [Modelo de seguridad web](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Asegurando aplicaciones web](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Ejecución simbólica](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Seguridad de redes](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Protocolos de red](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Ataque de canal lateral](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + +- ### Recolección de basura +    - [ ] [Recolección de basura (Java); Aumentando estructuras de datos (vídeo)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Compiladores (vídeo)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) + - [ ] [Recolección de basura en Python (vídeo)](https://www.youtube.com/watch?v=iHVs_HkjdmI) + - [ ] [Deep Dive Java: ¡La recolección de basura es buena!](https://www.infoq.com/presentations/garbage-collection-benefits) +    - [ ] [Deep Dive Python: La recolección de basura en CPython (vídeo)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + +- ### Programación paralela - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + - [ ] [Python eficiente para computación paralela de alto rendimiento (vídeo)](https://www.youtube.com/watch?v=uY85GkaYzBk) - ### Messaging, Serialization, and Queueing Systems - [ ] [Thrift](https://thrift.apache.org/) From 12998184fcb090039099aa4a7573a87c3bff6fa6 Mon Sep 17 00:00:00 2001 From: Alan Garcia Date: Mon, 2 Jan 2017 22:33:42 -0700 Subject: [PATCH 17/94] Update README-es.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c71d60f39c..007192096d 100644 --- a/README.md +++ b/README.md @@ -1643,11 +1643,11 @@ You're never really done. - [ ] [Ataque de canal lateral](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - ### Recolección de basura -    - [ ] [Recolección de basura (Java); Aumentando estructuras de datos (vídeo)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Recolección de basura (Java); Aumentando estructuras de datos (vídeo)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - [ ] [Compiladores (vídeo)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - [ ] [Recolección de basura en Python (vídeo)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - [ ] [Deep Dive Java: ¡La recolección de basura es buena!](https://www.infoq.com/presentations/garbage-collection-benefits) -    - [ ] [Deep Dive Python: La recolección de basura en CPython (vídeo)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + - [ ] [Deep Dive Python: La recolección de basura en CPython (vídeo)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - ### Programación paralela - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) From 5bd289af9d07f209f9ff9c9a50a9085ed158734d Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Sun, 21 May 2017 20:33:46 -0500 Subject: [PATCH 18/94] Update README Took the original README and started a clean translation --- README-es.md | 3990 +++++++++++++++++++++++++------------------------- 1 file changed, 1971 insertions(+), 2019 deletions(-) diff --git a/README-es.md b/README-es.md index 38ff7a8dd4..1ba5ce76d6 100644 --- a/README-es.md +++ b/README-es.md @@ -1,2019 +1,1971 @@ -# Google Interview University - -Version original: [Inglés](README.md) - -## Qué es? - -Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) a ingeniero de software en Google. - -![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) - -This long list has been extracted and expanded from **Google's coaching notes**, so these are the things you need to know. -There are extra items I added at the bottom that may come up in the interview or be helpful in solving a problem. Many items are from -Steve Yegge's "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" and are reflected -sometimes word-for-word in Google's coaching notes. - -I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements -from information received from my contact at Google. This is meant for **new software engineers** or those switching from -software/web development to software engineering (where computer science knowledge is required). If you have -many years of experience and are claiming many years of software engineering experience, expect a harder interview. -[Read more here](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). - -If you have many years of software/web development experience, note that Google views software engineering as -different from software/web development and they require computer science knowledge. - -If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). - ---- - -## Table of Contents - -- [What is it?](#what-is-it) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) -- [Get in a Googley Mood](#get-in-a-googley-mood) -- [Did I Get the Job?](#did-i-get-the-job) -- [Follow Along with Me](#follow-along-with-me) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Google](#about-google) -- [About Video Resources](#about-video-resources) -- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) -- [Pick One Language for the Interview](#pick-one-language-for-the-interview) -- [Book List](#book-list) -- [Before you Get Started](#before-you-get-started) -- [What you Won't See Covered](#what-you-wont-see-covered) -- [Prerequisite Knowledge](#prerequisite-knowledge) -- [The Daily Plan](#the-daily-plan) -- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) -- [Data Structures](#data-structures) - - [Arrays](#arrays) - - [Linked Lists](#linked-lists) - - [Stack](#stack) - - [Queue](#queue) - - [Hash table](#hash-table) -- [More Knowledge](#more-knowledge) - - [Binary search](#binary-search) - - [Bitwise operations](#bitwise-operations) -- [Trees](#trees) - - [Trees - Notes & Background](#trees---notes--background) - - [Binary search trees: BSTs](#binary-search-trees-bsts) - - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) - - balanced search trees (general concept, not details) - - traversals: preorder, inorder, postorder, BFS, DFS -- [Sorting](#sorting) - - selection - - insertion - - heapsort - - quicksort - - merge sort -- [Graphs](#graphs) - - directed - - undirected - - adjacency matrix - - adjacency list - - traversals: BFS, DFS -- [Even More Knowledge](#even-more-knowledge) - - [Recursion](#recursion) - - [Object-Oriented Programming](#object-oriented-programming) - - [Design Patterns](#design-patterns) - - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - - [Caches](#caches) - - [Processes and Threads](#processes-and-threads) - - [Papers](#papers) - - [Testing](#testing) - - [Scheduling](#scheduling) - - [Implement system routines](#implement-system-routines) - - [String searching & manipulations](#string-searching--manipulations) -- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) -- [Final Review](#final-review) -- [Coding Question Practice](#coding-question-practice) -- [Coding exercises/challenges](#coding-exerciseschallenges) -- [Once you're closer to the interview](#once-youre-closer-to-the-interview) -- [Your Resume](#your-resume) -- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) -- [Have questions for the interviewer](#have-questions-for-the-interviewer) -- [Once You've Got The Job](#once-youve-got-the-job) - ----------------- Everything below this point is optional ---------------- - -- [Additional Books](#additional-books) -- [Additional Learning](#additional-learning) - - [Dynamic Programming](#dynamic-programming) - - [Compilers](#compilers) - - [Floating Point Numbers](#floating-point-numbers) - - [Unicode](#unicode) - - [Endianness](#endianness) - - [Emacs and vi(m)](#emacs-and-vim) - - [Unix command line tools](#unix-command-line-tools) - - [Information theory](#information-theory) - - [Parity & Hamming Code](#parity--hamming-code) - - [Entropy](#entropy) - - [Cryptography](#cryptography) - - [Compression](#compression) - - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) - - [Computer Security](#computer-security) - - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) - - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) - - [Fast Fourier Transform](#fast-fourier-transform) - - [Bloom Filter](#bloom-filter) - - [HyperLogLog](#hyperloglog) - - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - - [van Emde Boas Trees](#van-emde-boas-trees) - - [Augmented Data Structures](#augmented-data-structures) - - [Tries](#tries) - - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Balanced search trees](#balanced-search-trees) - - AVL trees - - Splay trees - - Red/black trees - - 2-3 search trees - - 2-3-4 Trees (aka 2-4 trees) - - N-ary (K-ary, M-ary) trees - - B-Trees - - [k-D Trees](#k-d-trees) - - [Skip lists](#skip-lists) - - [Network Flows](#network-flows) - - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Math for Fast Processing](#math-for-fast-processing) - - [Treap](#treap) - - [Linear Programming](#linear-programming) - - [Geometry, Convex hull](#geometry-convex-hull) - - [Discrete math](#discrete-math) - - [Machine Learning](#machine-learning) - - [Go](#go) -- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) -- [Video Series](#video-series) -- [Computer Science Courses](#computer-science-courses) - ---- - -## Why use it? - -I'm following this plan to prepare for my Google interview. I've been building the web, building -services, and launching startups since 1997. I have an economics degree, not a CS degree. I've -been very successful in my career, but I want to work at Google. I want to progress into larger systems -and get a real understanding of computer systems, algorithmic efficiency, data structure performance, -low-level languages, and how it all works. And if you don't know any of it, Google won't hire you. - -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. - -But after going through this study plan I have high confidence I'll be hired. It's a long plan. It's going to take me -months. If you are familiar with a lot of this already it will take you a lot less time. - -## How to use it - -Everything below is an outline, and you should tackle the items in order from top to bottom. - -I'm using Github's special markdown flavor, including tasks lists to check progress. - -- [x] Create a new branch so you can check items like this, just put an x in the brackets: [x] - - - Fork a branch and follow the commands below - -`git checkout -b progress` - -`git remote add jwasham https://github.com/jwasham/google-interview-university` - -`git fetch --all` - - Mark all boxes with X after you completed your changes - -`git add . ` - -`git commit -m "Marked x" ` - -`git rebase jwasham/master ` - -`git push --force ` - -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) - -## Get in a Googley Mood - -Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize. - -[![future Googler sign](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) - -## Did I Get the Job? - -I haven't applied yet. - -Right now I'm doing programming problems all day long. That will continue for a few weeks, and then I'll -apply through a referral I've been holding onto since February (yes, February). - - Thanks for the referral, JP. - -## Follow Along with Me - -My story: [Why I Studied Full-Time for 8 Months for a Google Interview](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) - -I'm on the journey, too. Follow along: - -- **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) -- Twitter: [@googleyasheck](https://twitter.com/googleyasheck) -- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) -- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) -- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) - -![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) - -## Don't feel you aren't smart enough -- Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google. -- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - -## About Google - -- [ ] For students - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] How Search Works: - - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [How Search Works - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [How Google makes improvements to its search algorithm (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) -- [ ] Series: - - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [Google's Secret Study To Find Out Our Needs](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [Google Search Will Be Your Next Brain](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [The Deep Mind Of Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Book: How Google Works](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Made by Google announcement - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) - -## About Video Resources - -Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. -Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. - - I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. - I like using university lectures. - - -## Interview Process & General Interview Prep - -- [ ] Videos: - - [ ] [How to Work at Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [How to Work at Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [How to Work at Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [How to Work at Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] Articles: - - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [Get That Job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - all the things he mentions that you need to know are listed below - - [ ] _(very dated)_ [How To Get A Job At Google, Interview Questions, Hiring Process](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [Phone Screen Questions](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) - -- [ ] Prep Courses: - - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. - -- [ ] Additional (not suggested by Google but I added): - - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Four Steps To Google Without A Degree](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Cracking The Coding Interview Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] How to Get a Job at the Big 4: - - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) - -## Pick One Language for the Interview - -I wrote this short article about it: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) - -You can use a language you are comfortable in to do the coding part of the interview, but for Google, these are solid choices: - -- C++ -- Java -- Python - -You could also use these, but read around first. There may be caveats: - -- JavaScript -- Ruby - -You need to be very comfortable in the language and be knowledgeable. - -Read more about choices: -- http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ -- http://blog.codingforinterviews.com/best-programming-language-jobs/ -- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview - -[See language resources here](programming-language-resources.md) - -You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. - -## Book List - -This is a shorter list than what I used. This is abbreviated to save you time. - -### Interview Prep - -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C++ and Java - - recommended in Google candidate coaching - - this is a good warm-up for Cracking the Coding Interview - - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - - recommended on the [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) - - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview". - -If you have tons of extra time: - -- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - - all code is in C++, very good if you're looking to use C++ in your interview - - a good book on problem solving in general. - -### Computer Architecture - -If short on time: - -- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - - The book was published in 2004, and is somehat outdated, but it's a terrific resource for understanding a computer in brief. - - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. - - These chapters are worth the read to give you a nice foundation: - - Chapter 2 - Numeric Representation - - Chapter 3 - Binary Arithmetic and Bit Operations - - Chapter 4 - Floating-Point Representation - - Chapter 5 - Character Representation - - Chapter 6 - Memory Organization and Access - - Chapter 7 - Composite Data Types and Memory Objects - - Chapter 9 - CPU Architecture - - Chapter 10 - Instruction Set Architecture - - Chapter 11 - Memory Architecture and Organization - -If you have more time (I want this book): - -- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - - For a richer, more up-to-date (2011), but longer treatment - -### Language Specific - -**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. - -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the video lectures in this project**, unless you'd like a review. - -[Additional language-specific resources here.](programming-language-resources.md) - -### C++ - -I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. - -- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) -- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) - -If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. - -### Java - -- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) - - videos with book content (and Sedgewick!): - - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) - -OR: - -- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - - by Goodrich, Tamassia, Goldwasser - - used as optional text for CS intro course at UC Berkeley - - see my book report on the Python version below. This book covers the same topics. - -### Python - -- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - - by Goodrich, Tamassia, Goldwasser - - I loved this book. It covered everything and more. - - Pythonic code - - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ - - -### Optional Books - -**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** - -- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - - As a review and problem recognition - - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. - - This book has 2 parts: - - class textbook on data structures and algorithms - - pros: - - is a good review as any algorithms textbook would be - - nice stories from his experiences solving problems in industry and academia - - code examples in C - - cons: - - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects - - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have - - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. - - algorithm catalog: - - this is the real reason you buy this book. - - about to get to this part. Will update here once I've made my way through it. - - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace - (and important) graph problems are – they should be part of every working programmer's toolkit. The book also - covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half - of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve - them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a - great way to learn how to identify hundreds of problem types." - - Can rent it on kindle - - Half.com is a great resource for textbooks at good prices. - - Answers: - - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) - - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) - - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) - -- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book." - - Half.com is a great resource for textbooks at good prices. - - aka CLR, sometimes CLRS, because Stein was late to the game - -- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) - - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but - that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - -- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - - Would rather spend time on coding problems from another book or online coding problems. - - -## Before you Get Started - -This list grew over many months, and yes, it kind of got out of hand. - -Here are some mistakes I made so you'll have a better experience. - -### 1. You Won't Remember it All - -I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going -through my notes and making flashcards so I could review. - -Read please so you won't make my mistakes: - -[Retaining Computer Science Knowledge](https://googleyasheck.com/retaining-computer-science-knowledge/) - -### 2. Use Flashcards - -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. - -I made a mobile-first website so I could review on my phone and tablet, wherever I am. - -Make your own for free: - -- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. - -**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the -same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in -your brain. - -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. -It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. - -My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) - -### 3. Review, review, review - -I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. - -Take a break from programming problems for a half hour and go through your flashcards. - -### 4. Focus - -There are a lot of distractions that can take up valuable time. Focus and concentration are hard. - -## What you won't see covered - -This big list all started as a personal to-do list made from Google interview coaching notes. These are prevalent -technologies but were not mentioned in those notes: - -- SQL -- Javascript -- HTML, CSS, and other front-end technologies - -## The Daily Plan - -Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. - -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: -- C - using structs and functions that take a struct * and something else as args. -- C++ - without using built-in types -- C++ - using built-in types, like STL's std::list for a linked list -- Python - using built-in types (to keep practicing Python) -- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements -- You may do Java or something else, this is just my thing. - -You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). - -Why code in all of these? -- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) -- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) -- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) - -I may not have time to do all of these for every subject, but I'll try. - -You can see my code here: - - [C] (https://github.com/jwasham/practice-c) - - [C++] (https://github.com/jwasham/practice-cpp) - - [Python] (https://github.com/jwasham/practice-python) - -You don't need to memorize the guts of every algorithm. - -Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. - -## Prerequisite Knowledge - -- [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. - - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little - you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - - [answers to questions](https://github.com/lekkas/c-algorithms) - -- [ ] **How computers process a program:** - - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) - - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) - -## Algorithmic complexity / Big-O / Asymptotic analysis -- nothing to implement -- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) -- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] Skiena: - - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) -- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) -- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) -- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) -- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) -- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) -- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) -- [ ] TopCoder (includes recurrence relations and master theorem): - - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) -- [ ] [Cheat sheet](http://bigocheatsheet.com/) - - - If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics videos to get the background knowledge. - -## Data Structures - -- ### Arrays - - Implement an automatically resizing vector. - - [ ] Description: - - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) - - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - - [ ] Implement a vector (mutable array with automatic resizing): - - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. - - [ ] new raw data array with allocated memory - - can allocate int array under the hood, just not use its features - - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 - - [ ] size() - number of items - - [ ] capacity() - number of items it can hold - - [ ] is_empty() - - [ ] at(index) - returns item at given index, blows up if index out of bounds - - [ ] push(item) - - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right - - [ ] prepend(item) - can use insert above at index 0 - - [ ] pop() - remove from end, return value - - [ ] delete(index) - delete item at index, shifting all trailing elements left - - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) - - [ ] find(item) - looks for value and returns first index with that value, -1 if not found - - [ ] resize(new_capacity) // private function - - when you reach capacity, resize to double the size - - when popping an item, if size is 1/4 of capacity, resize to half - - [ ] Time - - O(1) to add/remove at end (amortized for allocations for more space), index, or update - - O(n) to insert/remove elsewhere - - [ ] Space - - contiguous in memory, so proximity helps performance - - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) - -- ### Linked Lists - - [ ] Description: - - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole video, just portions about Node struct and memory allocation. - - [ ] Linked List vs Arrays: - - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - - [ ] Gotcha: you need pointer to pointer knowledge: - (for when you pass a pointer to a function that may change the address where that pointer points) - This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. - - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - - [ ] implement (I did with tail pointer & without): - - [ ] size() - returns number of data elements in list - - [ ] empty() - bool returns true if empty - - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) - - [ ] push_front(value) - adds an item to the front of the list - - [ ] pop_front() - remove front item and return its value - - [ ] push_back(value) - adds an item at the end - - [ ] pop_back() - removes end item and returns its value - - [ ] front() - get value of front item - - [ ] back() - get value of end item - - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - - [ ] erase(index) - removes node at given index - - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - - [ ] reverse() - reverses the list - - [ ] remove_value(value) - removes the first item in the list with this value - - [ ] Doubly-linked List - - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No need to implement - -- ### Stack - - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - - [ ] Will not implement. Implementing with array is trivial. - -- ### Queue - - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) - - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - - [ ] Implement using linked-list, with tail pointer: - - enqueue(value) - adds value at position at tail - - dequeue() - returns value and removes least recently added element (front) - - empty() - - [ ] Implement using fixed-sized array: - - enqueue(value) - adds item at end of available storage - - dequeue() - returns value and removes least recently added element - - empty() - - full() - - [ ] Cost: - - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) - because you'd need the next to last element, causing a full traversal each dequeue - - enqueue: O(1) (amortized, linked list and array [probing]) - - dequeue: O(1) (linked list and array) - - empty: O(1) (linked list and array) - -- ### Hash table - - [ ] Videos: - - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) - - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - - - [ ] Online Courses: - - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) - - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) - - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) - - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - - [ ] distributed hash tables: - - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - - [ ] implement with array using linear probing - - hash(k, m) - m is size of hash table - - add(key, value) - if key already exists, update value - - exists(key) - - get(key) - - remove(key) - -## More Knowledge - -- ### Binary search - - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implement: - - binary search (on sorted array of integers) - - binary search using recursion - -- ### Bitwise operations - - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Good intro: - [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) - - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) - - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - - [ ] 2s and 1s complement - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] count set bits - - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] round to next power of 2: - - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] swap values: - - [Swap](http://bits.stephan-brumme.com/swap.html) - - [ ] absolute value: - - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) - -## Trees - -- ### Trees - Notes & Background - - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - basic tree construction - - traversal - - manipulation algorithms - - BFS (breadth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - level order (BFS, using queue) - time complexity: O(n) - space complexity: best: O(1), worst: O(n/2)=O(n) - - DFS (depth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - - notes: - time complexity: O(n) - space complexity: - best: O(log n) - avg. height of tree - worst: O(n) - - inorder (DFS: left, self, right) - - postorder (DFS: left, right, self) - - preorder (DFS: self, left, right) - -- ### Binary search trees: BSTs - - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - - starts with symbol table and goes through BST applications - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) - - C/C++: - - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) - - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) - - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) - - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) - - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] Implement: - - [ ] insert // insert value into tree - - [ ] get_node_count // get count of values stored - - [ ] print_values // prints the values in the tree, from min to max - - [ ] delete_tree - - [ ] is_in_tree // returns true if given value exists in the tree - - [ ] get_height // returns the height in nodes (single node's height is 1) - - [ ] get_min // returns the minimum value stored in the tree - - [ ] get_max // returns the maximum value stored in the tree - - [ ] is_binary_search_tree - - [ ] delete_value - - [ ] get_successor // returns next-highest value in tree after given value, -1 if none - -- ### Heap / Priority Queue / Binary Heap - - visualized as a tree, but is usually linear in storage (array, linked list) - - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) - - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) - - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) - - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) - - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) - - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) - - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) - - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) - - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) - - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - - [ ] Implement a max-heap: - - [ ] insert - - [ ] sift_up - needed for insert - - [ ] get_max - returns the max item, without removing it - - [ ] get_size() - return number of elements stored - - [ ] is_empty() - returns true if heap contains no elements - - [ ] extract_max - returns the max item, removing it - - [ ] sift_down - needed for extract_max - - [ ] remove(i) - removes item at index x - - [ ] heapify - create a heap from an array of elements, needed for heap_sort - - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). - -## Sorting - -- [ ] Notes: - - Implement sorts & know best case/worst case, average complexity of each: - - no bubble sort - it's terrible - O(n^2), except when n <= 16 - - [ ] stability in sorting algorithms ("Is Quicksort stable?") - - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) - - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) - - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) - - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) - - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? - - I wouldn't recommend sorting a linked list, but merge sort is doable. - - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) - -- For heapsort, see Heap data structure above. Heap sort is great, but not stable. - -- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) - - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) - - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - -- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - -- [ ] UC Berkeley: - - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) - - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) - - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) - - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) - -- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) -- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) -- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) -- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) -- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) -- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) -- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) - -- [ ] Merge sort code: - - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) - - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) - - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) -- [ ] Quick sort code: - - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) - - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) - -- [ ] Implement: - - [ ] Mergesort: O(n log n) average and worst case - - [ ] Quicksort O(n log n) average case - - Selection sort and insertion sort are both O(n^2) average and worst case - - For heapsort, see Heap data structure above. - -- [ ] Not required, but I recommended them: - - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) - - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) - - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) - - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) - - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) - - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) - -If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) - -## Graphs - -Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. - -- Notes from Yegge: - - There are three basic ways to represent a graph in memory: - - objects and pointers - - matrix - - adjacency list - - Familiarize yourself with each representation and its pros & cons - - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - - When asked a question, look for a graph-based solution first, then move on if none. - -- [ ] Skiena Lectures - great intro: - - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) - - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - -- [ ] Graphs (review and more): - - - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) - - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) - - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) - - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) - - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) - - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) - - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) - - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) - -- Full Coursera Course: - - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - -- Yegge: If you get a chance, try to study up on fancier algorithms: - - [ ] Dijkstra's algorithm - see above - 6.006 - - [ ] A* - - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - -- I'll implement: - - [ ] DFS with adjacency list (recursive) - - [ ] DFS with adjacency list (iterative with stack) - - [ ] DFS with adjacency matrix (recursive) - - [ ] DFS with adjacency matrix (iterative with stack) - - [ ] BFS with adjacency list - - [ ] BFS with adjacency matrix - - [ ] single-source shortest path (Dijkstra) - - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni videos above): - - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - - [ ] topological sort - - [ ] count connected components in a graph - - [ ] list strongly connected components - - [ ] check for bipartite graph - -You'll get more graph practice in Skiena's book (see Books section below) and the interview books - -## Even More Knowledge - -- ### Recursion - - [ ] Stanford lectures on recursion & backtracking: - - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - when it is appropriate to use it - - how is tail recursion better than not? - - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - -- ### Object-Oriented Programming - - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - - Can skip this if you have a great grasp of OO and OO design practices. - - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] SOLID OOP Principles: - - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - -- ### Design patterns - - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Learn these patterns: - - [ ] strategy - - [ ] singleton - - [ ] adapter - - [ ] prototype - - [ ] decorator - - [ ] visitor - - [ ] factory, abstract factory - - [ ] facade - - [ ] observer - - [ ] proxy - - [ ] delegate - - [ ] command - - [ ] state - - [ ] memento - - [ ] iterator - - [ ] composite - - [ ] flyweight - - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - -- ### Combinatorics (n choose k) & Probability - - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - - [ ] Khan Academy: - - Course layout: - - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the videos - 41 (each are simple and each are short): - - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - -- ### NP, NP-Complete and Approximation Algorithms - - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, - and be able to recognize them when an interviewer asks you them in disguise. - - Know what NP-complete means. - - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - - [ ] Simonson: - - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) - - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvik discusses near-optimal solutions to traveling salesman problem: - - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Pages 1048 - 1140 in CLRS if you have it. - -- ### Caches - - [ ] LRU cache: - - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - - [ ] CPU cache: - - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- ### Processes and Threads - - [ ] Computer Science 162 - Operating Systems (25 videos): - - for processes and threads see videos 1-11 - - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Covers: - - Processes, Threads, Concurrency issues - - difference between processes and threads - - processes - - threads - - locks - - mutexes - - semaphores - - monitors - - how they work - - deadlock - - livelock - - CPU activity, interrupts, context switching - - Modern concurrency constructs with multicore processors - - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - - Context switching - - How context switching is initiated by the operating system and underlying hardware - - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] concurrency in Python (videos): - - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) - - [reference](http://www.dabeaz.com/GIL) - - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) - - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - -- ### Papers - - These are Google papers and well-known papers. - - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. - - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - replaced by Colossus in 2012 - - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - mostly replaced by Cloud Dataflow? - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) - - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) - - paper not available - - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - - [ ] 2013: Spanner: Google’s Globally-Distributed Database: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [video](https://www.usenix.org/node/170855) - - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) - - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) - - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - -- ### Testing - - To cover: - - how unit testing works - - what are mock objects - - what is integration testing - - what is dependency injection - - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) - - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Dependency injection: - - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - -- ### Scheduling - - in an OS, how it works - - can be gleaned from Operating System videos - -- ### Implement system routines - - understand what lies beneath the programming APIs you use - - can you implement them? - -- ### String searching & manipulations - - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) - - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - - If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) - ---- - -## System Design, Scalability, Data Handling -- **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. - Expect to spend quite a bit of time on this. -- Considerations from Yegge: - - scalability - - Distill large data sets to single values - - Transform one data set to another - - Handling obscenely large amounts of data - - system design - - features sets - - interfaces - - class hierarchies - - designing a system under certain constraints - - simplicity and robustness - - tradeoffs - - performance analysis and optimization -- [ ] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) -- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) -- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) -- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) -- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) -- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. -- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) -- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) -- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) -- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) -- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) -- [ ] Paxos Consensus algorithm: - - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) - - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) -- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) -- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) -- [ ] Scalability: - - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - - [ ] Short series: - - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) - - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) - - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) - - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) - - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) - - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) - - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) - - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) - - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) - - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) - - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) - - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) - - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) - - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) - - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) - - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) - - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) - - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) - - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) - - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) - - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) - - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) - - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) - - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) - - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) - - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) - - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html) - - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) - - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) - - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) - - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) - - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) - - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) - - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) - - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) - - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) - - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) - - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together - - [ ] Twitter: - - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. -- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - - flow: - 1. Understand the problem and scope: - - define the use cases, with interviewer's help - - suggest additional features - - remove items that interviewer deems out of scope - - assume high availability is required, add as a use case - 2. Think about constraints: - - ask how many requests per month - - ask how many requests per second (they may volunteer it or make you do the math) - - estimate reads vs. writes percentage - - keep 80/20 rule in mind when estimating - - how much data written per second - - total storage required over 5 years - - how much data read per second - 3. Abstract design: - - layers (service, data, caching) - - infrastructure: load balancing, messaging - - rough overview of any key algorithm that drives the service - - consider bottlenecks and determine solutions - - Exercises: - - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) - - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) - - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) - - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) - - [Design a function to return the top k requests during past time interval]( https://icmi.cs.ucsb.edu/research/tech_reports/reports/2005-23.pdf) - - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) - - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) - - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) - - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) - ---- - -## Final Review - - This section will have shorter videos that can you watch pretty quickly to review most of the important concepts. - It's nice if you want a refresher often. - -- [ ] Series of 2-3 minutes short subject videos (23 videos) - - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): - - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) -- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) - - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) - - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) - - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) - - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) - - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) - - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) - - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) -- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) - - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) - - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) - - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) - - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) - - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) - - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) - - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) - - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) - - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) - - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) - ---- - -## Coding Question Practice - -Now that you know all the computer science topics above, it's time to practice answering coding problems. - -**Coding question practice is not about memorizing answers to programming problems.** - -Why you need to practice doing programming problems: -- problem recognition, and where the right data structures and algorithms fit in -- gathering requirements for the problem -- talking your way through the problem like you will in the interview -- coding on a whiteboard or paper, not a computer -- coming up with time and space complexity for your solutions -- testing your solutions - -There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview books, too, but I found this outstanding: -[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) - -[My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/) - -No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a -large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". -I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. - -![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) - -Supplemental: - -- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) -- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) -- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) -- [Exercises for getting better at a given language](http://exercism.io/languages) - -**Read and Do Programming Problems (in this order):** - -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C, C++ and Java -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - -See [Book List above](#book-list) - -## Coding exercises/challenges - -Once you've learned your brains out, put those brains to work. -Take coding challenges every day, as many as you can. - -- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) -- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) - -Challenge sites: -- [LeetCode](https://leetcode.com/) -- [TopCoder](https://www.topcoder.com/) -- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) -- [Codewars](http://www.codewars.com) -- [HackerRank](https://www.hackerrank.com/) -- [Codility](https://codility.com/programmers/) -- [InterviewCake](https://www.interviewcake.com/) -- [Geeks for Geeks](http://www.geeksforgeeks.org/) -- [InterviewBit](https://www.interviewbit.com/invite/icjf) - -Maybe: -- [Mock interviewers from big companies](http://www.gainlo.co/) - -## Once you're closer to the interview - -- [ ] Cracking The Coding Interview Set 2 (videos): - - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) - -## Your Resume - -- [Ten Tips for a (Slightly) Less Awful Resume](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html) -- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed - - -## Be thinking of for when the interview comes - -Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. -Have a story, not just data, about something you accomplished. - -- Why do you want this job? -- What's a tough problem you've solved? -- Biggest challenges faced? -- Best/worst designs seen? -- Ideas for improving an existing Google product. -- How do you work best, as an individual and as part of a team? -- Which of your skills or experiences would be assets in the role and why? -- What did you most enjoy at [job x / project y]? -- What was the biggest challenge you faced at [job x / project y]? -- What was the hardest bug you faced at [job x / project y]? -- What did you learn at [job x / project y]? -- What would you have done better at [job x / project y]? - -## Have questions for the interviewer - - Some of mine (I already may know answer to but want their opinion or team perspective): - -- How large is your team? -- What does your dev cycle look like? Do you do waterfall/sprints/agile? -- Are rushes to deadlines common? Or is there flexibility? -- How are decisions made in your team? -- How many meetings do you have per week? -- Do you feel your work environment helps you concentrate? -- What are you working on? -- What do you like about it? -- What is the work life like? - -## Once You've Got The Job - -Congratulations! - -- [10 things I wish I knew on my first day at Google](https://medium.com/@moonstorming/10-things-i-wish-i-knew-on-my-first-day-at-google-107581d87286#.livxn7clw) - -Keep learning. - -You're never really done. - ---- - - ***************************************************************************************************** - ***************************************************************************************************** - - Everything below this point is optional. These are my recommendations, not Google's. - By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for - any software engineering job. You'll be a much more well-rounded software engineer. - - ***************************************************************************************************** - ***************************************************************************************************** - ---- - -## Additional Books - -- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - - an oldie but a goodie -- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) - - a modern option -- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) -- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) - - a gentle introduction to design patterns -- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - - aka the "Gang Of Four" book, or GOF - - the canonical design patterns book -- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html) - - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/) -- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) - -## Additional Learning - -- ### Dynamic Programming - - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - - [ ] Videos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - - [ ] List of individual DP problems (each is short): - [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - - [ ] Yale Lecture notes: - - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - - [ ] Coursera: - - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) - - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) - - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) - - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) - - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) - -- ### Compilers - - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) - -- ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) - -- ### Unicode - - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) - -- ### Endianness - - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. - -- ### Emacs and vi(m) - - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor - - vi(m): - - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - - [VIM Adventures](http://vim-adventures.com/) - - set of 4 videos: - - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) - - emacs: - - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (videos): - - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) - - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) - - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - -- ### Unix command line tools - - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. - - [ ] bash - - [ ] cat - - [ ] grep - - [ ] sed - - [ ] awk - - [ ] curl or wget - - [ ] sort - - [ ] tr - - [ ] uniq - - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) - -- ### Information theory (videos) - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - - [ ] more about Markov processes: - - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) - - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) - - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - - See more in MIT 6.050J Information and Entropy series below. - -- ### Parity & Hamming Code (videos) - - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - - [ ] Hamming Code: - - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc) - - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - -- ### Entropy - - also see videos below - - make sure to watch information theory videos first - - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) - -- ### Cryptography - - also see videos below - - make sure to watch information theory videos first - - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- ### Compression - - make sure to watch information theory videos first - - [ ] Computerphile (videos): - - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) - - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) - - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) - - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) - - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) - - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) - - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - -- ### Computer Security - - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) - - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) - - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - -- ### Parallel Programming - - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) - -- ### Messaging, Serialization, and Queueing Systems - - [ ] [Thrift](https://thrift.apache.org/) - - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) - - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) - - [ ] [gRPC](http://www.grpc.io/) - - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) - - [ ] [Redis](http://redis.io/) - - [Tutorial](http://try.redis.io/) - - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) - - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/) - - [ ] [RabbitMQ](https://www.rabbitmq.com/) - - [Get Startet](https://www.rabbitmq.com/getstarted.html) - - [ ] [Celery](http://www.celeryproject.org/) - - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) - - [ ] [ZeroMQ](http://zeromq.org/) - - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) - - [ ] [ActiveMQ](http://activemq.apache.org/) - - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction) - - [ ] [MessagePack](http://msgpack.org/index.html) - - [ ] [Avro](https://avro.apache.org/) - -- ### Fast Fourier Transform - - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) - - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) - -- ### Bloom Filter - - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) - - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) - - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) - - [Tutorial](http://billmill.org/bloomfilter-tutorial/) - - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) - -- ### HyperLogLog - - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) - -- ### Locality-Sensitive Hashing - - used to determine the similarity of documents - - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. - - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) - -- ### van Emde Boas Trees - - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - -- ### Augmented Data Structures - - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) - -- ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: - - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - -- ### Balanced search trees - - Know least one type of balanced binary tree (and know how it's implemented): - - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. - A particularly interesting self-organizing data structure is the splay tree, which uses rotations - to move any accessed key to the root." - Skiena - - Of these, I chose to implement a splay tree. From what I've read, you won't implement a - balanced search tree in your interview. But I wanted exposure to coding one up - and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. - - splay tree: insert, search, delete functions - If you end up implementing red/black tree try just these: - - search and insertion functions, skipping delete - - I want to learn more about B-Tree since it's used so widely with very large data sets. - - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - - [ ] **AVL trees** - - In practice: - From what I can tell, these aren't used much in practice, but I could see where they would be: - The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly - balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it - attractive for data structures that may be built once and loaded without reconstruction, such as language - dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). - - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - - - [ ] **Splay trees** - - In practice: - Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, - data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, - networking and file system code) etc. - - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - - [ ] MIT Lecture: Splay Trees: - - Gets very mathy, but watch the last 10 minutes for sure. - - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - - - [ ] **Red/black trees** - - these are a translation of a 2-3 tree (see below) - - In practice: - Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. - Not only does this make them valuable in time-sensitive applications such as real-time applications, - but it makes them valuable building blocks in other data structures which provide worst-case guarantees; - for example, many data structures used in computational geometry can be based on red–black trees, and - the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, - the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor - hashcodes, a Red-Black tree is used. - - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) - - - [ ] **2-3 search trees** - - In practice: - 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. - - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - - [ ] **2-3-4 Trees (aka 2-4 trees)** - - In practice: - For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion - operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an - important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce - 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. - - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - - - [ ] **N-ary (K-ary, M-ary) trees** - - note: the N or K is the branching factor (max branches) - - binary trees are a 2-ary tree, with branching factor = 2 - - 2-3 trees are 3-ary - - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - - - [ ] **B-Trees** - - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) - - In Practice: - B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to - its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary - block in a particular file. The basic problem is turning the file block i address into a disk block - (or perhaps to a cylinder-head-sector) address. - - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - covers cache-oblivious B-Trees, very interesting data structures - - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) - - -- ### k-D Trees - - great for finding number of points in a rectangle or higher dimension object - - a good fit for k-nearest neighbors - - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) - -- ### Skip lists - - "These are somewhat of a cult data structure" - Skiena - - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) - -- ### Network Flows - - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) - -- ### Disjoint Sets & Union Find - - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - -- ### Math for Fast Processing - - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) - -- ### Treap - - Combination of a binary search tree and a heap - - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) - -- ### Linear Programming (videos) - - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) - -- ### Geometry, Convex hull (videos) - - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - -- ### Discrete math - - see videos below - -- ### Machine Learning - - [ ] Why ML? - - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) - - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) - - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) - - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - - Courses: - - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) - - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) - - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - - Resources: - - Books: - - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) - - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) - - Data School: http://www.dataschool.io/ - -- ### Go - - [ ] Videos: - - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) - - [ ] Books: - - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro) - - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440) - - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp) - --- - -## Additional Detail on Some Subjects - - I added these to reinforce some ideas already presented above, but didn't want to include them - above because it's just too much. It's easy to overdo it on a subject. - You want to get hired in this century, right? - -- [ ] **Union-Find** - - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) - - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) - - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) - - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank) - - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) - - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) - -- [ ] **More Dynamic Programming** (videos) - - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) - - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) - - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) - - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) - - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) - -- [ ] **Advanced Graph Processing** (videos) - - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) - -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): - - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) - - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) - -- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) - -- [ ] **String Matching** - - [ ] Rabin-Karp (videos): - - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) - - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) - - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) - - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) - - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) - - [ ] Knuth-Morris-Pratt (KMP): - - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) - - [ ] Boyer–Moore string search algorithm - - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) - - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - - nice explanation of tries - - can be skipped - -- [ ] **Sorting** - - - [ ] Stanford lectures on sorting: - - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) - - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) - - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): - - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) - - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) - - [ ] Steven Skiena lectures on sorting: - - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) - - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) - -## Video Series - -Sit back and enjoy. "Netflix and skill" :P - -- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - -- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) - -- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) - -- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) - -- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) - -- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) - -- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) - -- [ ] CSE373 - Analysis of Algorithms (25 videos) - - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) - -- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - -- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) - -- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) - -- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - -- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) - -- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) - -- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) - -- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) - -- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) - -- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) - -- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) - -- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) - -- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) - -- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) - -- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) - -- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) - -- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) - -- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) - -## Computer Science Courses - -- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) -- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - +# Coding Interview University + +-Version original: [Inglés](README.md) + +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software pero creció hasta ser la gran lista puedes apreciar actualmente. Después de pasar por este plan de estudios [fui contratado como un Ingeniero de Desarrollo de Software en Amazon(Art. En Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! +> You probably won't have to study as much as I did. Anyway, everything you need is here. +> +> The items listed here will prepare you well for in an interview at just about any software company, +> including the giants: Amazon, Facebook, Google or Microsoft. +> +> *Best of luck to you!* + +Translations: +- [中文版本](translations/README-cn.md) +- [Tiếng Việt - Vietnamese](translations/README-vi.md) +- translations in progress: + - [Español](https://github.com/jwasham/coding-interview-university/issues/80) + - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) + - [עברית](https://github.com/jwasham/coding-interview-university/issues/82) + - [Bahasa Indonesia](https://github.com/jwasham/coding-interview-university/issues/101) + - [Arabic](https://github.com/jwasham/coding-interview-university/issues/98) + - [Turkish](https://github.com/jwasham/coding-interview-university/issues/90) + - [French](https://github.com/jwasham/coding-interview-university/issues/89) + - [Russian](https://github.com/jwasham/coding-interview-university/issues/87) + - [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) + - [Brazilian Portuguese](https://github.com/jwasham/coding-interview-university/issues/113) + - [Korean](https://github.com/jwasham/coding-interview-university/issues/118) + - [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) + - [Polish](https://github.com/jwasham/coding-interview-university/issues/122) + - [German](https://github.com/jwasham/coding-interview-university/issues/135) + - [Urdu](https://github.com/jwasham/coding-interview-university/issues/140) + - [Thai](https://github.com/jwasham/coding-interview-university/issues/156) + - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) + - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) + +## What is it? + +This is my multi-month study plan for going from web developer (self-taught, no CS degree) to software engineer for a large company. + +![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) + +This is meant for **new software engineers** or those switching from +software/web development to software engineering (where computer science knowledge is required). If you have +many years of experience and are claiming many years of software engineering experience, expect a harder interview. + +If you have many years of software/web development experience, note that large software companies like Google, Amazon, +Facebook and Microsoft view software engineering as different from software/web development, and they require computer science knowledge. + +If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). + +--- + +## Table of Contents + +- [What is it?](#what-is-it) +- [Why use it?](#why-use-it) +- [How to use it](#how-to-use-it) +- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) +- [About Video Resources](#about-video-resources) +- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) +- [Pick One Language for the Interview](#pick-one-language-for-the-interview) +- [Book List](#book-list) +- [Before you Get Started](#before-you-get-started) +- [What you Won't See Covered](#what-you-wont-see-covered) +- [Prerequisite Knowledge](#prerequisite-knowledge) +- [The Daily Plan](#the-daily-plan) +- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) +- [Data Structures](#data-structures) + - [Arrays](#arrays) + - [Linked Lists](#linked-lists) + - [Stack](#stack) + - [Queue](#queue) + - [Hash table](#hash-table) +- [More Knowledge](#more-knowledge) + - [Binary search](#binary-search) + - [Bitwise operations](#bitwise-operations) +- [Trees](#trees) + - [Trees - Notes & Background](#trees---notes--background) + - [Binary search trees: BSTs](#binary-search-trees-bsts) + - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) + - balanced search trees (general concept, not details) + - traversals: preorder, inorder, postorder, BFS, DFS +- [Sorting](#sorting) + - selection + - insertion + - heapsort + - quicksort + - merge sort +- [Graphs](#graphs) + - directed + - undirected + - adjacency matrix + - adjacency list + - traversals: BFS, DFS +- [Even More Knowledge](#even-more-knowledge) + - [Recursion](#recursion) + - [Dynamic Programming](#dynamic-programming) + - [Object-Oriented Programming](#object-oriented-programming) + - [Design Patterns](#design-patterns) + - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) + - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) + - [Caches](#caches) + - [Processes and Threads](#processes-and-threads) + - [Papers](#papers) + - [Testing](#testing) + - [Scheduling](#scheduling) + - [Implement system routines](#implement-system-routines) + - [String searching & manipulations](#string-searching--manipulations) + - [Tries](#tries) + - [Floating Point Numbers](#floating-point-numbers) + - [Unicode](#unicode) + - [Endianness](#endianness) +- [Networking](#networking) +- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) +- [Final Review](#final-review) +- [Coding Question Practice](#coding-question-practice) +- [Coding exercises/challenges](#coding-exerciseschallenges) +- [Once you're closer to the interview](#once-youre-closer-to-the-interview) +- [Your Resume](#your-resume) +- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) +- [Have questions for the interviewer](#have-questions-for-the-interviewer) +- [Once You've Got The Job](#once-youve-got-the-job) + +---------------- Everything below this point is optional ---------------- + +- [Additional Books](#additional-books) +- [Additional Learning](#additional-learning) + - [Compilers](#compilers) + - [Emacs and vi(m)](#emacs-and-vim) + - [Unix command line tools](#unix-command-line-tools) + - [Information theory](#information-theory) + - [Parity & Hamming Code](#parity--hamming-code) + - [Entropy](#entropy) + - [Cryptography](#cryptography) + - [Compression](#compression) + - [Computer Security](#computer-security) + - [Garbage collection](#garbage-collection) + - [Parallel Programming](#parallel-programming) + - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) + - [A*](#a) + - [Fast Fourier Transform](#fast-fourier-transform) + - [Bloom Filter](#bloom-filter) + - [HyperLogLog](#hyperloglog) + - [Locality-Sensitive Hashing](#locality-sensitive-hashing) + - [van Emde Boas Trees](#van-emde-boas-trees) + - [Augmented Data Structures](#augmented-data-structures) + - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) + - [Balanced search trees](#balanced-search-trees) + - AVL trees + - Splay trees + - Red/black trees + - 2-3 search trees + - 2-3-4 Trees (aka 2-4 trees) + - N-ary (K-ary, M-ary) trees + - B-Trees + - [k-D Trees](#k-d-trees) + - [Skip lists](#skip-lists) + - [Network Flows](#network-flows) + - [Disjoint Sets & Union Find](#disjoint-sets--union-find) + - [Math for Fast Processing](#math-for-fast-processing) + - [Treap](#treap) + - [Linear Programming](#linear-programming) + - [Geometry, Convex hull](#geometry-convex-hull) + - [Discrete math](#discrete-math) + - [Machine Learning](#machine-learning) +- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +- [Video Series](#video-series) +- [Computer Science Courses](#computer-science-courses) + +--- + +## Why use it? + +When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to +traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. +Every data structure I've ever used was built into the language, and I didn't know how they worked +under the hood at all. I've never had to manage memory unless a process I was running would give an "out of +memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and +thousands of associative arrays, but I've never created data structures from scratch. + +It's a long plan. It may take you months. If you are familiar with a lot of this already it will take you a lot less time. + +## How to use it + +Everything below is an outline, and you should tackle the items in order from top to bottom. + +I'm using Github's special markdown flavor, including tasks lists to check progress. + +**Create a new branch so you can check items like this, just put an x in the brackets: [x]** + + + Fork a branch and follow the commands below + +`git checkout -b progress` + +`git remote add jwasham https://github.com/jwasham/coding-interview-university` + +`git fetch --all` + + Mark all boxes with X after you completed your changes + +`git add . ` + +`git commit -m "Marked x" ` + +`git rebase jwasham/master ` + +`git push --force ` + +[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) + +## Don't feel you aren't smart enough +- Successful software engineers are smart, but many have an insecurity that they aren't smart enough. +- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) +- [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) + +## About Video Resources + +Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. +Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. + + I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. + I like using university lectures. + + +## Interview Process & General Interview Prep + +- [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) +- [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) +- [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) +- [ ] [Demystifying Tech Recruiting](https://www.youtube.com/watch?v=N233T0epWTs) +- [ ] Cracking The Coding Interview Set 1: + - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) +- [ ] How to Get a Job at the Big 4: + - [ ] [How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) + +- [ ] Prep Course: + - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): + - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. + - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): + - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. + +## Pick One Language for the Interview + +You can use a language you are comfortable in to do the coding part of the interview, but for large companies, these are solid choices: + +- C++ +- Java +- Python + +You could also use these, but read around first. There may be caveats: + +- JavaScript +- Ruby + +You need to be very comfortable in the language and be knowledgeable. + +Read more about choices: +- http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ +- http://blog.codingforinterviews.com/best-programming-language-jobs/ + +[See language resources here](programming-language-resources.md) + +You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. + +## Book List + +This is a shorter list than what I used. This is abbreviated to save you time. + +### Interview Prep + +- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) + - answers in C++ and Java + - this is a good warm-up for Cracking the Coding Interview + - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) +- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - answers in Java + +If you have tons of extra time: + +- [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) +- [ ] Elements of Programming Interviews (Java version) + - [book](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) + - [Companion Project - Method Stub and Test Cases for Every Problem in the Book](https://github.com/gardncl/elements-of-programming-interviews) + +### Computer Architecture + +If short on time: + +- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) + - The book was published in 2004, and is somewhat outdated, but it's a terrific resource for understanding a computer in brief. + - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. + - These chapters are worth the read to give you a nice foundation: + - Chapter 2 - Numeric Representation + - Chapter 3 - Binary Arithmetic and Bit Operations + - Chapter 4 - Floating-Point Representation + - Chapter 5 - Character Representation + - Chapter 6 - Memory Organization and Access + - Chapter 7 - Composite Data Types and Memory Objects + - Chapter 9 - CPU Architecture + - Chapter 10 - Instruction Set Architecture + - Chapter 11 - Memory Architecture and Organization + +If you have more time (I want this book): + +- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) + - For a richer, more up-to-date (2011), but longer treatment + +### Language Specific + +**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. + +If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. +**You can skip all the video lectures in this project**, unless you'd like a review. + +[Additional language-specific resources here.](programming-language-resources.md) + +### C++ + +I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. + +- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) +- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) + +If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. + +### Java + +- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) + - videos with book content (and Sedgewick!): + - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) + - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) + +OR: + +- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) + - by Goodrich, Tamassia, Goldwasser + - used as optional text for CS intro course at UC Berkeley + - see my book report on the Python version below. This book covers the same topics. + +### Python + +- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) + - by Goodrich, Tamassia, Goldwasser + - I loved this book. It covered everything and more. + - Pythonic code + - my glowing book report: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ + + +### Optional Books + +**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** + +- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) + - As a review and problem recognition + - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. + - This book has 2 parts: + - class textbook on data structures and algorithms + - pros: + - is a good review as any algorithms textbook would be + - nice stories from his experiences solving problems in industry and academia + - code examples in C + - cons: + - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects + - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have + - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. + - algorithm catalog: + - this is the real reason you buy this book. + - about to get to this part. Will update here once I've made my way through it. + - Can rent it on kindle + - Half.com is a great resource for textbooks at good prices. + - Answers: + - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) + - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) + - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) + +- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) + - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. + - Half.com is a great resource for textbooks at good prices. + - aka CLR, sometimes CLRS, because Stein was late to the game + +- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) + - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but + that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. + +- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ + - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. + - Would rather spend time on coding problems from another book or online coding problems. + + +## Before you Get Started + +This list grew over many months, and yes, it kind of got out of hand. + +Here are some mistakes I made so you'll have a better experience. + +### 1. You Won't Remember it All + +I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going +through my notes and making flashcards so I could review. + +Read please so you won't make my mistakes: + +[Retaining Computer Science Knowledge](https://startupnextdoor.com/retaining-computer-science-knowledge/) + +### 2. Use Flashcards + +To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. +Each card has different formatting. + +I made a mobile-first website so I could review on my phone and tablet, wherever I am. + +Make your own for free: + +- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) +- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): +- [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): + +Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required. + +**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the +same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in +your brain. + +An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. +It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. + +My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) + +### 3. Review, review, review + +I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. + +Take a break from programming problems for a half hour and go through your flashcards. + +### 4. Focus + +There are a lot of distractions that can take up valuable time. Focus and concentration are hard. + +## What you won't see covered + +These are prevalent technologies but not part of this study plan: + +- SQL +- Javascript +- HTML, CSS, and other front-end technologies + +## The Daily Plan + +Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. + +Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: +- C - using structs and functions that take a struct * and something else as args. +- C++ - without using built-in types +- C++ - using built-in types, like STL's std::list for a linked list +- Python - using built-in types (to keep practicing Python) +- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements +- You may do Java or something else, this is just my thing. + +You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). + +Why code in all of these? +- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) +- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) +- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) + +I may not have time to do all of these for every subject, but I'll try. + +You can see my code here: + - [C](https://github.com/jwasham/practice-c) + - [C++](https://github.com/jwasham/practice-cpp) + - [Python](https://github.com/jwasham/practice-python) + +You don't need to memorize the guts of every algorithm. + +Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. + +## Prerequisite Knowledge + +- [ ] **Learn C** + - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. + - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) + - This is a short book, but it will give you a great handle on the C language and if you practice it a little + you'll quickly get proficient. Understanding C helps you understand how programs and memory work. + - [answers to questions](https://github.com/lekkas/c-algorithms) + +- [ ] **How computers process a program:** + - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) + - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) + +## Algorithmic complexity / Big-O / Asymptotic analysis +- nothing to implement +- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) +- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) +- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- [ ] Skiena: + - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) +- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) +- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) +- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) +- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) +- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) +- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) +- [ ] TopCoder (includes recurrence relations and master theorem): + - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) + - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) +- [ ] [Cheat sheet](http://bigocheatsheet.com/) + + + If some of the lectures are too mathy, you can jump down to the bottom and + watch the discrete mathematics videos to get the background knowledge. + +## Data Structures + +- ### Arrays + - Implement an automatically resizing vector. + - [ ] Description: + - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) + - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) + - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) + - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) + - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) + - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) + - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) + - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) + - [ ] Implement a vector (mutable array with automatic resizing): + - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. + - [ ] new raw data array with allocated memory + - can allocate int array under the hood, just not use its features + - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 + - [ ] size() - number of items + - [ ] capacity() - number of items it can hold + - [ ] is_empty() + - [ ] at(index) - returns item at given index, blows up if index out of bounds + - [ ] push(item) + - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right + - [ ] prepend(item) - can use insert above at index 0 + - [ ] pop() - remove from end, return value + - [ ] delete(index) - delete item at index, shifting all trailing elements left + - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) + - [ ] find(item) - looks for value and returns first index with that value, -1 if not found + - [ ] resize(new_capacity) // private function + - when you reach capacity, resize to double the size + - when popping an item, if size is 1/4 of capacity, resize to half + - [ ] Time + - O(1) to add/remove at end (amortized for allocations for more space), index, or update + - O(n) to insert/remove elsewhere + - [ ] Space + - contiguous in memory, so proximity helps performance + - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) + +- ### Linked Lists + - [ ] Description: + - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) + - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) + - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) + - not the whole video, just portions about Node struct and memory allocation. + - [ ] Linked List vs Arrays: + - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) + - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) + - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) + - [ ] Gotcha: you need pointer to pointer knowledge: + (for when you pass a pointer to a function that may change the address where that pointer points) + This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. + - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) + - [ ] implement (I did with tail pointer & without): + - [ ] size() - returns number of data elements in list + - [ ] empty() - bool returns true if empty + - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) + - [ ] push_front(value) - adds an item to the front of the list + - [ ] pop_front() - remove front item and return its value + - [ ] push_back(value) - adds an item at the end + - [ ] pop_back() - removes end item and returns its value + - [ ] front() - get value of front item + - [ ] back() - get value of end item + - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index + - [ ] erase(index) - removes node at given index + - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list + - [ ] reverse() - reverses the list + - [ ] remove_value(value) - removes the first item in the list with this value + - [ ] Doubly-linked List + - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) + - No need to implement + +- ### Stack + - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) + - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) + - [ ] Will not implement. Implementing with array is trivial. + +- ### Queue + - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) + - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) + - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) + - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) + - [ ] Implement using linked-list, with tail pointer: + - enqueue(value) - adds value at position at tail + - dequeue() - returns value and removes least recently added element (front) + - empty() + - [ ] Implement using fixed-sized array: + - enqueue(value) - adds item at end of available storage + - dequeue() - returns value and removes least recently added element + - empty() + - full() + - [ ] Cost: + - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) + because you'd need the next to last element, causing a full traversal each dequeue + - enqueue: O(1) (amortized, linked list and array [probing]) + - dequeue: O(1) (linked list and array) + - empty: O(1) (linked list and array) + +- ### Hash table + - [ ] Videos: + - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) + - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) + - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) + - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) + + - [ ] Online Courses: + - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) + - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) + - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) + - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) + - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) + - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) + - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) + - [ ] distributed hash tables: + - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) + - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) + + - [ ] implement with array using linear probing + - hash(k, m) - m is size of hash table + - add(key, value) - if key already exists, update value + - exists(key) + - get(key) + - remove(key) + +## More Knowledge + +- ### Binary search + - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) + - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) + - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) + - [ ] Implement: + - binary search (on sorted array of integers) + - binary search using recursion + +- ### Bitwise operations + - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) + - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << + - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) + - [ ] Good intro: + [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) + - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) + - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) + - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) + - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) + - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) + - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) + - [ ] 2s and 1s complement + - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) + - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) + - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) + - [ ] count set bits + - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) + - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) + - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) + - [ ] round to next power of 2: + - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) + - [ ] swap values: + - [Swap](http://bits.stephan-brumme.com/swap.html) + - [ ] absolute value: + - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) + +## Trees + +- ### Trees - Notes & Background + - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) + - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) + - basic tree construction + - traversal + - manipulation algorithms + - BFS (breadth-first search) + - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) + - level order (BFS, using queue) + time complexity: O(n) + space complexity: best: O(1), worst: O(n/2)=O(n) + - DFS (depth-first search) + - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) + - notes: + time complexity: O(n) + space complexity: + best: O(log n) - avg. height of tree + worst: O(n) + - inorder (DFS: left, self, right) + - postorder (DFS: left, right, self) + - preorder (DFS: self, left, right) + +- ### Binary search trees: BSTs + - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) + - starts with symbol table and goes through BST applications + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) + - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) + - C/C++: + - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) + - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) + - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) + - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) + - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) + - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] Implement: + - [ ] insert // insert value into tree + - [ ] get_node_count // get count of values stored + - [ ] print_values // prints the values in the tree, from min to max + - [ ] delete_tree + - [ ] is_in_tree // returns true if given value exists in the tree + - [ ] get_height // returns the height in nodes (single node's height is 1) + - [ ] get_min // returns the minimum value stored in the tree + - [ ] get_max // returns the maximum value stored in the tree + - [ ] is_binary_search_tree + - [ ] delete_value + - [ ] get_successor // returns next-highest value in tree after given value, -1 if none + +- ### Heap / Priority Queue / Binary Heap + - visualized as a tree, but is usually linear in storage (array, linked list) + - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) + - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) + - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) + - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) + - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) + - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) + - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) + - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) + - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) + - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) + - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) + - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) + - [ ] Implement a max-heap: + - [ ] insert + - [ ] sift_up - needed for insert + - [ ] get_max - returns the max item, without removing it + - [ ] get_size() - return number of elements stored + - [ ] is_empty() - returns true if heap contains no elements + - [ ] extract_max - returns the max item, removing it + - [ ] sift_down - needed for extract_max + - [ ] remove(i) - removes item at index x + - [ ] heapify - create a heap from an array of elements, needed for heap_sort + - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap + - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). + +## Sorting + +- [ ] Notes: + - Implement sorts & know best case/worst case, average complexity of each: + - no bubble sort - it's terrible - O(n^2), except when n <= 16 + - [ ] stability in sorting algorithms ("Is Quicksort stable?") + - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) + - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) + - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) + - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) + - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? + - I wouldn't recommend sorting a linked list, but merge sort is doable. + - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) + +- For heapsort, see Heap data structure above. Heap sort is great, but not stable. + +- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) + - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) + - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + +- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + +- [ ] UC Berkeley: + - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) + - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) + - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) + +- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) +- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) +- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) +- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) +- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) +- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) +- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) + +- [ ] Merge sort code: + - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) + - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) + - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) +- [ ] Quick sort code: + - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) + - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) + - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) + +- [ ] Implement: + - [ ] Mergesort: O(n log n) average and worst case + - [ ] Quicksort O(n log n) average case + - Selection sort and insertion sort are both O(n^2) average and worst case + - For heapsort, see Heap data structure above. + +- [ ] Not required, but I recommended them: + - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) + - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) + - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) + - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) + - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) + - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) + - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) + +As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). +If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + +## Graphs + +Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. + +- Notes: + - There are 4 basic ways to represent a graph in memory: + - objects and pointers + - adjacency matrix + - adjacency list + - adjacency map + - Familiarize yourself with each representation and its pros & cons + - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code + - When asked a question, look for a graph-based solution first, then move on if none. + +- [ ] Skiena Lectures - great intro: + - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) + - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) + - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) + - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + +- [ ] Graphs (review and more): + + - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) + - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) + - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) + - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) + - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) + - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) + - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) + - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) + +- Full Coursera Course: + - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) + +- I'll implement: + - [ ] DFS with adjacency list (recursive) + - [ ] DFS with adjacency list (iterative with stack) + - [ ] DFS with adjacency matrix (recursive) + - [ ] DFS with adjacency matrix (iterative with stack) + - [ ] BFS with adjacency list + - [ ] BFS with adjacency matrix + - [ ] single-source shortest path (Dijkstra) + - [ ] minimum spanning tree + - DFS-based algorithms (see Aduni videos above): + - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) + - [ ] topological sort + - [ ] count connected components in a graph + - [ ] list strongly connected components + - [ ] check for bipartite graph + +You'll get more graph practice in Skiena's book (see Books section below) and the interview books + +## Even More Knowledge + +- ### Recursion + - [ ] Stanford lectures on recursion & backtracking: + - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) + - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) + - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) + - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) + - when it is appropriate to use it + - how is tail recursion better than not? + - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) + - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) + +- ### Dynamic Programming + - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. + - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. + - [ ] Videos: + - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see + - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) + - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) + - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) + - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) + - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) + - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) + - [ ] List of individual DP problems (each is short): + [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + - [ ] Yale Lecture notes: + - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) + - [ ] Coursera: + - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) + - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) + - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) + - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) + - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) + - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) + - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) + +- ### Object-Oriented Programming + - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) + - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): + - Can skip this if you have a great grasp of OO and OO design practices. + - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] SOLID OOP Principles: + - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) + - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) + - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) + - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) + - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension but not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) + - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) + - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use + - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) + - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. + - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) + +- ### Design patterns + - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) + - [ ] Learn these patterns: + - [ ] strategy + - [ ] singleton + - [ ] adapter + - [ ] prototype + - [ ] decorator + - [ ] visitor + - [ ] factory, abstract factory + - [ ] facade + - [ ] observer + - [ ] proxy + - [ ] delegate + - [ ] command + - [ ] state + - [ ] memento + - [ ] iterator + - [ ] composite + - [ ] flyweight + - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) + - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) + - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) + - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. + - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) + - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) + + +- ### Combinatorics (n choose k) & Probability + - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) + - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) + - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) + - [ ] Khan Academy: + - Course layout: + - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) + - Just the videos - 41 (each are simple and each are short): + - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) + +- ### NP, NP-Complete and Approximation Algorithms + - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, + and be able to recognize them when an interviewer asks you them in disguise. + - Know what NP-complete means. + - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) + - [ ] Simonson: + - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) + - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) + - [ ] Skiena: + - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) + - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) + - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) + - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - Peter Norvig discusses near-optimal solutions to traveling salesman problem: + - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) + - Pages 1048 - 1140 in CLRS if you have it. + +- ### Caches + - [ ] LRU cache: + - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) + - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) + - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) + - [ ] CPU cache: + - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) + - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + +- ### Processes and Threads + - [ ] Computer Science 162 - Operating Systems (25 videos): + - for processes and threads see videos 1-11 + - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) + - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) + - Covers: + - Processes, Threads, Concurrency issues + - difference between processes and threads + - processes + - threads + - locks + - mutexes + - semaphores + - monitors + - how they work + - deadlock + - livelock + - CPU activity, interrupts, context switching + - Modern concurrency constructs with multicore processors + - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) + - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) + - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) + - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) + - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) + - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. + - Context switching + - How context switching is initiated by the operating system and underlying hardware + - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) + - [ ] concurrency in Python (videos): + - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) + - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) + - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) + - [reference](http://www.dabeaz.com/GIL) + - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) + - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) + - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) + +- ### Papers + - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. + - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) + - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) + - [implemented in Go](https://godoc.org/github.com/thomas11/csp) + - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) + - replaced by Colossus in 2012 + - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) + - mostly replaced by Cloud Dataflow? + - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) + - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) + - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) + - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) + - The Dynamo paper kicked off the NoSQL revolution + - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) + - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) + - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) + - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) + - paper not available + - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: + - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) + - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) + - [ ] 2013: Spanner: Google’s Globally-Distributed Database: + - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) + - [video](https://www.usenix.org/node/170855) + - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) + - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) + - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) + - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) + - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) + - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) + +- ### Testing + - To cover: + - how unit testing works + - what are mock objects + - what is integration testing + - what is dependency injection + - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) + - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) + - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) + - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) + - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) + - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) + - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) + - [ ] Dependency injection: + - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) + - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) + - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) + +- ### Scheduling + - in an OS, how it works + - can be gleaned from Operating System videos + +- ### Implement system routines + - understand what lies beneath the programming APIs you use + - can you implement them? + +- ### String searching & manipulations + - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) + - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) + - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) + - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) + + If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + +- ### Tries + - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits + to track the path. + - I read through code, but will not implement. + - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) + - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) + - [ ] Short course videos: + - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) + - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) + - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) + - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) + - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) + - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) + - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + +- ### Floating Point Numbers + - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) + - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) + +- ### Unicode + - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) + - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) + +- ### Endianness + - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) + - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) + - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) + - Very technical talk for kernel devs. Don't worry if most is over your head. + - The first half is enough. + +- ### Networking + - **if you have networking experience or want to be a systems engineer, expect questions** + - otherwise, this is just good to know + - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) + - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) + - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) + - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) + - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) + - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) + - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) + - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) + - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) + - [ ] Sockets: + - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) + - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) + +## System Design, Scalability, Data Handling +- **You can expect system design questions if you have 4+ years of experience.** +- Scalability and System Design are very large topics with many topics and resources, since + there is a lot to consider when designing a software/hardware system that can scale. + Expect to spend quite a bit of time on this. +- Considerations: + - scalability + - Distill large data sets to single values + - Transform one data set to another + - Handling obscenely large amounts of data + - system design + - features sets + - interfaces + - class hierarchies + - designing a system under certain constraints + - simplicity and robustness + - tradeoffs + - performance analysis and optimization +- [ ] **START HERE**: [The System Design Primer](https://github.com/donnemartin/system-design-primer) +- [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/) +- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) +- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) +- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) +- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) +- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. +- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) +- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) +- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) +- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) +- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) +- [ ] Paxos Consensus algorithm: + - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) + - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) + - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) +- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) +- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) +- [ ] Scalability: + - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) + - [ ] Short series: + - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) + - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) + - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) + - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) + - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) + - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) + - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) + - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) + - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) + - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) + - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) + - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) + - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) + - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) + - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) + - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) + - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) + - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) + - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) + - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) + - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) + - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) + - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) + - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) + - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) + - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) + - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) + - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html) + - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) + - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) + - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) + - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) + - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) + - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) + - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) + - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) + - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) + - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) + - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) + - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) + - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) + - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) + - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) + - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) + - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) + - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) + - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) + - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) + - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) + - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together + - [ ] Twitter: + - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) + - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) + - For even more, see "Mining Massive Datasets" video series in the Video Series section. +- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: + - review: [The System Design Primer](https://github.com/donnemartin/system-design-primer) + - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) + - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) + - flow: + 1. Understand the problem and scope: + - define the use cases, with interviewer's help + - suggest additional features + - remove items that interviewer deems out of scope + - assume high availability is required, add as a use case + 2. Think about constraints: + - ask how many requests per month + - ask how many requests per second (they may volunteer it or make you do the math) + - estimate reads vs. writes percentage + - keep 80/20 rule in mind when estimating + - how much data written per second + - total storage required over 5 years + - how much data read per second + 3. Abstract design: + - layers (service, data, caching) + - infrastructure: load balancing, messaging + - rough overview of any key algorithm that drives the service + - consider bottlenecks and determine solutions + - Exercises: + - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) + - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) + - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) + - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) + - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) + - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) + - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) + - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) + +--- + +## Final Review + + This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. + It's nice if you want a refresher often. + +- [ ] Series of 2-3 minutes short subject videos (23 videos) + - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) +- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): + - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) +- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) + - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) + - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) + - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) + - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) + - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) + - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) + - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) + - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) + - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) +- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) + - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) + - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) + - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) + - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) + - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) + - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) + - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) + - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) + - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) + - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) + +--- + +## Coding Question Practice + +Now that you know all the computer science topics above, it's time to practice answering coding problems. + +**Coding question practice is not about memorizing answers to programming problems.** + +Why you need to practice doing programming problems: +- problem recognition, and where the right data structures and algorithms fit in +- gathering requirements for the problem +- talking your way through the problem like you will in the interview +- coding on a whiteboard or paper, not a computer +- coming up with time and space complexity for your solutions +- testing your solutions + +There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming +interview books, too, but I found this outstanding: +[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) + +No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a +large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". +I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. + +![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) + +Supplemental: + +- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) +- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) +- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) +- [Exercises for getting better at a given language](http://exercism.io/languages) + +**Read and Do Programming Problems (in this order):** + +- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) + - answers in C, C++ and Java +- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - answers in Java + +See [Book List above](#book-list) + +## Coding exercises/challenges + +Once you've learned your brains out, put those brains to work. +Take coding challenges every day, as many as you can. + +- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) +- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) + +Coding Interview Question Videos: +- [IDeserve (88 videos)](https://www.youtube.com/watch?v=NBcqBddFbZw&list=PLamzFoFxwoNjPfxzaWqs7cZGsPYy0x_gI) +- [Tushar Roy (5 playlists)](https://www.youtube.com/user/tusharroy2525/playlists?shelf_id=2&view=50&sort=dd) + +Challenge sites: +- [LeetCode](https://leetcode.com/) +- [TopCoder](https://www.topcoder.com/) +- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) +- [Codewars](http://www.codewars.com) +- [HackerEarth](https://www.hackerearth.com/) +- [HackerRank](https://www.hackerrank.com/) +- [Codility](https://codility.com/programmers/) +- [InterviewCake](https://www.interviewcake.com/) +- [Geeks for Geeks](http://www.geeksforgeeks.org/) +- [InterviewBit](https://www.interviewbit.com/invite/icjf) +- [Sphere Online Judge (spoj)](http://www.spoj.com/) + +Challenge repos: +- [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) + +Mock Interviews: +- [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) +- [Pramp: Mock interviews from/with peers](https://www.pramp.com/) +- [Refdash: Mock interviews](https://refdash.com/) + +## Once you're closer to the interview + +- [ ] Cracking The Coding Interview Set 2 (videos): + - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) + - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) + - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) + +## Your Resume + +- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed + + +## Be thinking of for when the interview comes + +Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. +Have a story, not just data, about something you accomplished. + +- Why do you want this job? +- What's a tough problem you've solved? +- Biggest challenges faced? +- Best/worst designs seen? +- Ideas for improving an existing product. +- How do you work best, as an individual and as part of a team? +- Which of your skills or experiences would be assets in the role and why? +- What did you most enjoy at [job x / project y]? +- What was the biggest challenge you faced at [job x / project y]? +- What was the hardest bug you faced at [job x / project y]? +- What did you learn at [job x / project y]? +- What would you have done better at [job x / project y]? + +## Have questions for the interviewer + + Some of mine (I already may know answer to but want their opinion or team perspective): + +- How large is your team? +- What does your dev cycle look like? Do you do waterfall/sprints/agile? +- Are rushes to deadlines common? Or is there flexibility? +- How are decisions made in your team? +- How many meetings do you have per week? +- Do you feel your work environment helps you concentrate? +- What are you working on? +- What do you like about it? +- What is the work life like? + +## Once You've Got The Job + +Congratulations! + +Keep learning. + +You're never really done. + +--- + + ***************************************************************************************************** + ***************************************************************************************************** + + Everything below this point is optional. + By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for + any software engineering job. You'll be a much more well-rounded software engineer. + + ***************************************************************************************************** + ***************************************************************************************************** + +--- + +## Additional Books + +- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) + - an oldie but a goodie +- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) + - a modern option +- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) +- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) + - a gentle introduction to design patterns +- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) + - aka the "Gang Of Four" book, or GOF + - the canonical design patterns book +- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) + +## Additional Learning + +These topics will likely not come up in an interview, but I added them to help you become a well-rounded +software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. + +- ### Compilers + - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) + - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) + - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) + - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) + +- ### Emacs and vi(m) + - Familiarize yourself with a unix-based code editor + - vi(m): + - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) + - [VIM Adventures](http://vim-adventures.com/) + - set of 4 videos: + - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) + - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) + - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) + - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) + - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) + - emacs: + - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) + - set of 3 (videos): + - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) + - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) + - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) + - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) + - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) + - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) + +- ### Unix command line tools + - I filled in the list below from good tools. + - [ ] bash + - [ ] cat + - [ ] grep + - [ ] sed + - [ ] awk + - [ ] curl or wget + - [ ] sort + - [ ] tr + - [ ] uniq + - [ ] [strace](https://en.wikipedia.org/wiki/Strace) + - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) + +- ### Information theory (videos) + - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) + - [ ] more about Markov processes: + - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) + - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) + - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) + - See more in MIT 6.050J Information and Entropy series below. + +- ### Parity & Hamming Code (videos) + - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) + - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) + - [ ] Hamming Code: + - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc) + - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) + - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) + +- ### Entropy + - also see videos below + - make sure to watch information theory videos first + - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) + +- ### Cryptography + - also see videos below + - make sure to watch information theory videos first + - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) + - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) + - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + +- ### Compression + - make sure to watch information theory videos first + - [ ] Computerphile (videos): + - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) + - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) + - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) + - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) + - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) + - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) + - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) + - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) + +- ### Computer Security + - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) + - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) + - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) + - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + +- ### Garbage collection + - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) + - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) + - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) + - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + +- ### Parallel Programming + - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) + - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + +- ### Messaging, Serialization, and Queueing Systems + - [ ] [Thrift](https://thrift.apache.org/) + - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) + - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) + - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) + - [ ] [gRPC](http://www.grpc.io/) + - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) + - [ ] [Redis](http://redis.io/) + - [Tutorial](http://try.redis.io/) + - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) + - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/) + - [ ] [RabbitMQ](https://www.rabbitmq.com/) + - [Get Started](https://www.rabbitmq.com/getstarted.html) + - [ ] [Celery](http://www.celeryproject.org/) + - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) + - [ ] [ZeroMQ](http://zeromq.org/) + - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) + - [ ] [ActiveMQ](http://activemq.apache.org/) + - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction) + - [ ] [MessagePack](http://msgpack.org/index.html) + - [ ] [Avro](https://avro.apache.org/) + +- ### A* + - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) + - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) + - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) + +- ### Fast Fourier Transform + - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) + - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) + - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) + - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) + - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) + +- ### Bloom Filter + - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) + - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) + - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) + - [Tutorial](http://billmill.org/bloomfilter-tutorial/) + - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) + +- ### HyperLogLog + - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) + +- ### Locality-Sensitive Hashing + - used to determine the similarity of documents + - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. + - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) + +- ### van Emde Boas Trees + - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) + - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) + +- ### Augmented Data Structures + - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) + +- ### Balanced search trees + - Know least one type of balanced binary tree (and know how it's implemented): + - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. + A particularly interesting self-organizing data structure is the splay tree, which uses rotations + to move any accessed key to the root." - Skiena + - Of these, I chose to implement a splay tree. From what I've read, you won't implement a + balanced search tree in your interview. But I wanted exposure to coding one up + and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. + - splay tree: insert, search, delete functions + If you end up implementing red/black tree try just these: + - search and insertion functions, skipping delete + - I want to learn more about B-Tree since it's used so widely with very large data sets. + - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) + + - [ ] **AVL trees** + - In practice: + From what I can tell, these aren't used much in practice, but I could see where they would be: + The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly + balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it + attractive for data structures that may be built once and loaded without reconstruction, such as language + dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). + - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) + - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) + - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) + - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) + + - [ ] **Splay trees** + - In practice: + Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, + data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, + networking and file system code) etc. + - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + - [ ] MIT Lecture: Splay Trees: + - Gets very mathy, but watch the last 10 minutes for sure. + - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) + + - [ ] **Red/black trees** + - these are a translation of a 2-3 tree (see below) + - In practice: + Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. + Not only does this make them valuable in time-sensitive applications such as real-time applications, + but it makes them valuable building blocks in other data structures which provide worst-case guarantees; + for example, many data structures used in computational geometry can be based on red–black trees, and + the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, + the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor + hashcodes, a Red-Black tree is used. + - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) + - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) + - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) + - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) + + - [ ] **2-3 search trees** + - In practice: + 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). + - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. + - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) + - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + + - [ ] **2-3-4 Trees (aka 2-4 trees)** + - In practice: + For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion + operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an + important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce + 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. + - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) + - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) + + - [ ] **N-ary (K-ary, M-ary) trees** + - note: the N or K is the branching factor (max branches) + - binary trees are a 2-ary tree, with branching factor = 2 + - 2-3 trees are 3-ary + - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) + + - [ ] **B-Trees** + - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) + - In Practice: + B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to + its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary + block in a particular file. The basic problem is turning the file block i address into a disk block + (or perhaps to a cylinder-head-sector) address. + - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) + - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) + - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + - covers cache-oblivious B-Trees, very interesting data structures + - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) + + +- ### k-D Trees + - great for finding number of points in a rectangle or higher dimension object + - a good fit for k-nearest neighbors + - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) + - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) + +- ### Skip lists + - "These are somewhat of a cult data structure" - Skiena + - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) + +- ### Network Flows + - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) + +- ### Disjoint Sets & Union Find + - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) + - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) + +- ### Math for Fast Processing + - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) + +- ### Treap + - Combination of a binary search tree and a heap + - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) + - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) + - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) + +- ### Linear Programming (videos) + - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) + - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) + - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) + - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) + +- ### Geometry, Convex hull (videos) + - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) + - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) + +- ### Discrete math + - see videos below + +- ### Machine Learning + - [ ] Why ML? + - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) + - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) + - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) + - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) + - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) + - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) + - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) + - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) + - Courses: + - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) + - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) + - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) + - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) + - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) + - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) + - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) + - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) + - Resources: + - Books: + - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) + - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) + - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) + - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) + - Data School: http://www.dataschool.io/ + +-- + +## Additional Detail on Some Subjects + + I added these to reinforce some ideas already presented above, but didn't want to include them + above because it's just too much. It's easy to overdo it on a subject. + You want to get hired in this century, right? + +- [ ] **Union-Find** + - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) + - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) + - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) + - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank) + - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) + - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) + +- [ ] **More Dynamic Programming** (videos) + - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) + - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) + - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) + - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) + - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) + +- [ ] **Advanced Graph Processing** (videos) + - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) + - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) + +- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): + - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) + - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) + +- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) + +- [ ] **String Matching** + - [ ] Rabin-Karp (videos): + - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) + - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) + - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) + - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) + - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) + - [ ] Knuth-Morris-Pratt (KMP): + - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) + - [ ] Boyer–Moore string search algorithm + - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) + - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) + - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) + - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be + - nice explanation of tries + - can be skipped + +- [ ] **Sorting** + + - [ ] Stanford lectures on sorting: + - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) + - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) + - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): + - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) + - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) + - [ ] Steven Skiena lectures on sorting: + - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) + - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) + +## Video Series + +Sit back and enjoy. "Netflix and skill" :P + +- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + +- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) + +- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) + +- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) + +- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) + +- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) + +- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) + +- [ ] CSE373 - Analysis of Algorithms (25 videos) + - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) + +- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + +- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) + +- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) + +- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + +- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) + +- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + +- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) + +- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) + +- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) + +- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) + +- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) + +- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + +- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) + +- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) + +- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) + +- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) + +- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + +- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) + +- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) + - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) + +- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) + +- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) + +## Computer Science Courses + +- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) +- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) + From 30c1410821960bc9d60b7899e62560762a077460 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:17:49 -0500 Subject: [PATCH 19/94] Table of contents Done some of the traduction of the table of contents --- .gitignore | 1 + README-es.md | 150 +++++++++++++++++++++++++-------------------------- 2 files changed, 74 insertions(+), 77 deletions(-) diff --git a/.gitignore b/.gitignore index 2dcdcea159..3cf84a2de4 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,3 @@ .idea personal-9894.md +~$ADME-es.txt diff --git a/README-es.md b/README-es.md index 1ba5ce76d6..c8916251d6 100644 --- a/README-es.md +++ b/README-es.md @@ -1,16 +1,15 @@ # Coding Interview University --Version original: [Inglés](README.md) +- Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software pero creció hasta ser la gran lista puedes apreciar actualmente. Después de pasar por este plan de estudios [fui contratado como un Ingeniero de Desarrollo de Software en Amazon(Art. En Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! -> You probably won't have to study as much as I did. Anyway, everything you need is here. +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) +> Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > -> The items listed here will prepare you well for in an interview at just about any software company, -> including the giants: Amazon, Facebook, Google or Microsoft. +> Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. > -> *Best of luck to you!* +> *¡La mejor de las suertes!* -Translations: +Traducciones: - [中文版本](translations/README-cn.md) - [Tiếng Việt - Vietnamese](translations/README-vi.md) - translations in progress: @@ -33,47 +32,45 @@ Translations: - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) -## What is it? +## ¿Qué es esto? -This is my multi-month study plan for going from web developer (self-taught, no CS degree) to software engineer for a large company. +Este es mi plan de estudios de varios meses para pasar de ser un Desarrollador Web (Autodidacta, sin título) a un Ingeniero de Software para una gran compañía. ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -This is meant for **new software engineers** or those switching from -software/web development to software engineering (where computer science knowledge is required). If you have -many years of experience and are claiming many years of software engineering experience, expect a harder interview. +Esto es para los **nuevos Ingenieros de Software** o aquellos que quieren cambiar del Desarrollo de Software/Web a Ingeniero de Software (Donde el conocimiento de las Ciencias de Computación es requerido). Si tiene varios años de experiencia y clama tenerlos como Ingeniero de Software, espere una entrevista más ardua. -If you have many years of software/web development experience, note that large software companies like Google, Amazon, -Facebook and Microsoft view software engineering as different from software/web development, and they require computer science knowledge. +Si tiene varios años de experiencia en desarrollo de software/web note que las grandes compañías como Google, Amazon, Facebook y Microsoft ven la Ingeniería de Software diferente al Desarrollo de Software/Web, requiriendo del conocimiento de las Ciencias de Computación. + +Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, estudie más de la lista opcional (Redes, Seguridad). -If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). --- -## Table of Contents - -- [What is it?](#what-is-it) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Video Resources](#about-video-resources) -- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) -- [Pick One Language for the Interview](#pick-one-language-for-the-interview) -- [Book List](#book-list) -- [Before you Get Started](#before-you-get-started) -- [What you Won't See Covered](#what-you-wont-see-covered) -- [Prerequisite Knowledge](#prerequisite-knowledge) -- [The Daily Plan](#the-daily-plan) -- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) -- [Data Structures](#data-structures) - - [Arrays](#arrays) - - [Linked Lists](#linked-lists) +## Tabla de contenido + +- [¿Qué es esto?](#que-es-esto) +- [¿Por qué usarlo?](#por-que-usarlo) +- [Como usarlo](#como-usarlo) +- [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) +- [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) +- [Proceso de entrevista y preparación general para la entrevista](#proceso-de-entrevista-y-preparación-general-para-la-entrevista +- [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) +- [Lista de libros](#lista-de-libros) +- [Antes de iniciar](#antes-de-iniciar) +- [Lo que no verá cubierto](#lo-que-no-vera-cubierto) +- [Conocimientos Previos](#conocimientos-previos) +- [El plan diario](#el-plan-diario) +- [Complejidad algorítmica / Big-O / Análisis asintótico](#complejidad-algoritmica-big-o-analisis-asintotico) +- [Estructuras de datos](#estructuras-de-datos) + - [Arreglos](#arreglos) + - [Listas Enlazadas](#listas-enlazadas) - [Stack](#stack) - [Queue](#queue) - [Hash table](#hash-table) -- [More Knowledge](#more-knowledge) - - [Binary search](#binary-search) - - [Bitwise operations](#bitwise-operations) +- [Información adicional](#informacion-adicional) + - [Búsqueda binaria](#busqueda-binaria) + - [Operaciones bit a bit](#operaciones-bit-bit) - [Trees](#trees) - [Trees - Notes & Background](#trees---notes--background) - [Binary search trees: BSTs](#binary-search-trees-bsts) @@ -92,11 +89,11 @@ If you want to be a reliability engineer or systems engineer, study more from th - adjacency matrix - adjacency list - traversals: BFS, DFS -- [Even More Knowledge](#even-more-knowledge) - - [Recursion](#recursion) - - [Dynamic Programming](#dynamic-programming) - - [Object-Oriented Programming](#object-oriented-programming) - - [Design Patterns](#design-patterns) +- [Información adicional](#informacion-adicional) + - [Recursión](#recursion) + - [Programación Dinámica](#programacion-dinamica) + - [Programación Orientada a Objetos](#programacion-orientada-a-objetos) + - [Patrones de diseño](#patrones-de-diseño) - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - [Caches](#caches) @@ -110,42 +107,41 @@ If you want to be a reliability engineer or systems engineer, study more from th - [Floating Point Numbers](#floating-point-numbers) - [Unicode](#unicode) - [Endianness](#endianness) -- [Networking](#networking) -- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) -- [Final Review](#final-review) -- [Coding Question Practice](#coding-question-practice) -- [Coding exercises/challenges](#coding-exerciseschallenges) -- [Once you're closer to the interview](#once-youre-closer-to-the-interview) -- [Your Resume](#your-resume) -- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) -- [Have questions for the interviewer](#have-questions-for-the-interviewer) -- [Once You've Got The Job](#once-youve-got-the-job) - ----------------- Everything below this point is optional ---------------- - -- [Additional Books](#additional-books) -- [Additional Learning](#additional-learning) - - [Compilers](#compilers) - - [Emacs and vi(m)](#emacs-and-vim) - - [Unix command line tools](#unix-command-line-tools) - - [Information theory](#information-theory) - - [Parity & Hamming Code](#parity--hamming-code) - - [Entropy](#entropy) - - [Cryptography](#cryptography) +- [Redes](#redes) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño del sistema-escalabilidad-manejo de datos) (si tiene más de 4 años de experiencia) +- [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) +- [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) +- [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) +- [Tu CV](#tu-cv) +- [Pensando en cuando llegue la entrevista](#pensando-en-cuando-llegue-la-entrevista) +- [Preguntas para el entrevistador](#preguntas-para-el entrevistador) +- [Una vez obtenido el empleo](#una-vez-obtenido-el-empleo) + +---------------- Todo debajo de esta marca es opcional ---------------- + +- [Libros adicionales](#libros-adicionales) +- [Aprendizaje adicional](#aprendizaje-adicional) + - [Compiladores](#compiladores) + - [Emacs y Vi(m)](#emacs-y-vim) + - [Unix: Herramientas para la línea de comandos](#unix-herramienta-para-la-linea-de-comandos) + - [Teoría de la información](#teoria-de-la-informacion) + - [Código de paridad y Hamming](#codigo-de-paridad-y-hamming) + - [Entropía](#entropia) + - [Criptografía](#cryptografia) - [Compression](#compression) - - [Computer Security](#computer-security) + - [Seguridad informática](#seguridad-informatica) - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) - - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) + - [Programación en paralelo](#programacion-en-paralelo) + - [Sistemas de mensajería, serialización y colas] (#sistemas-de-mensajeria-serializacion-y-cola) - [A*](#a) - - [Fast Fourier Transform](#fast-fourier-transform) + - [Transformada rápida de Fourier] (#transformada-rapida-de-fourier) - [Bloom Filter](#bloom-filter) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - [van Emde Boas Trees](#van-emde-boas-trees) - - [Augmented Data Structures](#augmented-data-structures) + - [Estructuras de datos aumentadas](#estructuras-de-datos-aumentadas) - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Balanced search trees](#balanced-search-trees) + - [Árboles de búsqueda equilibrada](#arboles-de-busqueda-equilibrada) - AVL trees - Splay trees - Red/black trees @@ -155,17 +151,17 @@ If you want to be a reliability engineer or systems engineer, study more from th - B-Trees - [k-D Trees](#k-d-trees) - [Skip lists](#skip-lists) - - [Network Flows](#network-flows) + - [Flujos de red](#flujos-de-red) - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Math for Fast Processing](#math-for-fast-processing) + - [[Matemáticas para procesamiento rápido](#matematicas-para-procesamiento-rapido]) - [Treap](#treap) - - [Linear Programming](#linear-programming) - - [Geometry, Convex hull](#geometry-convex-hull) - - [Discrete math](#discrete-math) + - [Programación Lineal](#programacion-lineal) + - [Geometría, casco convexo] (#geometria-casco-convexo) + - [Matemáticas discretas](#matematicas-discretas) - [Machine Learning](#machine-learning) -- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) -- [Video Series](#video-series) -- [Computer Science Courses](#computer-science-courses) +- [Detalles adicionales de ciertos temas](#detalles-adicionales-de–ciertos-temas) +- [Series de videos](#series-de-videos) +- [Cursos de Informática](#cursos-de-informatica) --- From ad037f6951ceb6eca52cddfcbb2be66ff5eab75e Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:19:58 -0500 Subject: [PATCH 20/94] Typo --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index c8916251d6..e256543951 100644 --- a/README-es.md +++ b/README-es.md @@ -54,7 +54,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) - [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) -- [Proceso de entrevista y preparación general para la entrevista](#proceso-de-entrevista-y-preparación-general-para-la-entrevista +- [Proceso de entrevista y preparación general para la entrevista](#proceso-de-entrevista-y-preparacion-general-para-la-entrevista - [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) - [Antes de iniciar](#antes-de-iniciar) From 2a04043b2f8fd9a5ce85d606fc4da5b843bc287e Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:23:22 -0500 Subject: [PATCH 21/94] Trying --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index e256543951..5cf24f458a 100644 --- a/README-es.md +++ b/README-es.md @@ -54,7 +54,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) - [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) -- [Proceso de entrevista y preparación general para la entrevista](#proceso-de-entrevista-y-preparacion-general-para-la-entrevista +- [Prepárese para la entrevista](#preparese-para-la-entrevista) - [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) - [Antes de iniciar](#antes-de-iniciar) From 00c320f44bc8141099239c02a5ebe31946ddf5d3 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:24:55 -0500 Subject: [PATCH 22/94] More typos --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index 5cf24f458a..738d891f87 100644 --- a/README-es.md +++ b/README-es.md @@ -108,13 +108,13 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño del sistema-escalabilidad-manejo de datos) (si tiene más de 4 años de experiencia) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) (si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) - [Tu CV](#tu-cv) - [Pensando en cuando llegue la entrevista](#pensando-en-cuando-llegue-la-entrevista) -- [Preguntas para el entrevistador](#preguntas-para-el entrevistador) +- [Preguntas para el entrevistador](#preguntas-para-el-entrevistador) - [Una vez obtenido el empleo](#una-vez-obtenido-el-empleo) ---------------- Todo debajo de esta marca es opcional ---------------- From cba7623c490099b40444d9ff7c857a7a567f4a4c Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:26:07 -0500 Subject: [PATCH 23/94] Typo --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index 738d891f87..a3ad754c06 100644 --- a/README-es.md +++ b/README-es.md @@ -108,7 +108,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) (si tiene más de 4 años de experiencia) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseno-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) From 137adb4ed6c7b931c8923230b36fd00a41973f4c Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:26:52 -0500 Subject: [PATCH 24/94] Trying --- README-es.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index a3ad754c06..eeea6fd872 100644 --- a/README-es.md +++ b/README-es.md @@ -108,7 +108,8 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseno-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) +(Si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) From cddc61401b48b38ec0a70cba132ac089b78bd7cf Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:27:40 -0500 Subject: [PATCH 25/94] Trying --- README-es.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index eeea6fd872..a078c060f0 100644 --- a/README-es.md +++ b/README-es.md @@ -108,8 +108,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) -(Si tiene más de 4 años de experiencia) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) -Si tiene más de 4 años de experiencia- - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) From 7a1462b94023d13232400fa53ddf4c7835d24877 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:28:39 -0500 Subject: [PATCH 26/94] Typo --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index a078c060f0..c5d58b0479 100644 --- a/README-es.md +++ b/README-es.md @@ -108,7 +108,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) -Si tiene más de 4 años de experiencia- +- [Diseño del Sistema, Escalabilidad, Manejo de Datos](#diseño-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) From b773268de5c87fa2e13d527b7c6aa2c22f9ea556 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:30:17 -0500 Subject: [PATCH 27/94] Typo --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index c5d58b0479..b8eff39ce7 100644 --- a/README-es.md +++ b/README-es.md @@ -153,10 +153,10 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Skip lists](#skip-lists) - [Flujos de red](#flujos-de-red) - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [[Matemáticas para procesamiento rápido](#matematicas-para-procesamiento-rapido]) + - [Matemáticas para procesamiento rápido](#matematicas-para-procesamiento-rapido) - [Treap](#treap) - [Programación Lineal](#programacion-lineal) - - [Geometría, casco convexo] (#geometria-casco-convexo) + - [Geometría, casco convexo](#geometria-casco-convexo) - [Matemáticas discretas](#matematicas-discretas) - [Machine Learning](#machine-learning) - [Detalles adicionales de ciertos temas](#detalles-adicionales-de–ciertos-temas) From 4007665f151660645668168335e334634dc1172e Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:31:15 -0500 Subject: [PATCH 28/94] Erase a space --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index b8eff39ce7..2cdc5dd064 100644 --- a/README-es.md +++ b/README-es.md @@ -132,9 +132,9 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Seguridad informática](#seguridad-informatica) - [Garbage collection](#garbage-collection) - [Programación en paralelo](#programacion-en-paralelo) - - [Sistemas de mensajería, serialización y colas] (#sistemas-de-mensajeria-serializacion-y-cola) + - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajeria-serializacion-y-cola) - [A*](#a) - - [Transformada rápida de Fourier] (#transformada-rapida-de-fourier) + - [Transformada rápida de Fourier](#transformada-rapida-de-fourier) - [Bloom Filter](#bloom-filter) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) From e42000119dcf57846a8d639612c3b68ec63396ab Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:40:16 -0500 Subject: [PATCH 29/94] How to use it --- README-es.md | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/README-es.md b/README-es.md index 2cdc5dd064..b56b542000 100644 --- a/README-es.md +++ b/README-es.md @@ -165,16 +165,13 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, --- -## Why use it? +## ¿Por qué usarlo? -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. +Cuando comencé este proyecto, no sabía la diferencia entre un stack y un heap, no conocía la notación Big-O, nada acerca de árboles, ni cómo sacar la transversal de una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no hubiera sido muy bueno. Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban realmente. Yo nunca tuve que manejar la memoria a menos que un proceso que yo estaba corriendo diera un error de “out of memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. -It's a long plan. It may take you months. If you are familiar with a lot of this already it will take you a lot less time. +Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo. + +Es un plan largo, puede tome unos meses; pero si le resulta familiar mucho de esto le tomara mucho menos tiempo. ## How to use it From 4a746cb624ba73dabc7e0eceedf03a075962a5a5 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:47:29 -0500 Subject: [PATCH 30/94] Try --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index b56b542000..70dfdfcb14 100644 --- a/README-es.md +++ b/README-es.md @@ -49,7 +49,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, ## Tabla de contenido -- [¿Qué es esto?](#que-es-esto) +- [¿Qué es esto?](#qué-es-esto) - [¿Por qué usarlo?](#por-que-usarlo) - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) From 0fcaf35e6de56793e5a1928f853c21a6995cfc02 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:52:59 -0500 Subject: [PATCH 31/94] Acentos --- README-es.md | 52 ++++++++++++++++++++++++++-------------------------- 1 file changed, 26 insertions(+), 26 deletions(-) diff --git a/README-es.md b/README-es.md index 70dfdfcb14..b192e496b7 100644 --- a/README-es.md +++ b/README-es.md @@ -50,26 +50,26 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, ## Tabla de contenido - [¿Qué es esto?](#qué-es-esto) -- [¿Por qué usarlo?](#por-que-usarlo) +- [¿Por qué usarlo?](#por-qué-usarlo) - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) - [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) -- [Prepárese para la entrevista](#preparese-para-la-entrevista) +- [Prepárese para la entrevista](#prepárese-para-la-entrevista) - [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) - [Antes de iniciar](#antes-de-iniciar) -- [Lo que no verá cubierto](#lo-que-no-vera-cubierto) +- [Lo que no verá cubierto](#lo-que-no-verá-cubierto) - [Conocimientos Previos](#conocimientos-previos) - [El plan diario](#el-plan-diario) -- [Complejidad algorítmica / Big-O / Análisis asintótico](#complejidad-algoritmica-big-o-analisis-asintotico) +- [Complejidad algorítmica / Big-O / Análisis asintótico](#complejidad-algorítmica-big-o-análisis-asintótico) - [Estructuras de datos](#estructuras-de-datos) - [Arreglos](#arreglos) - [Listas Enlazadas](#listas-enlazadas) - [Stack](#stack) - [Queue](#queue) - [Hash table](#hash-table) -- [Información adicional](#informacion-adicional) - - [Búsqueda binaria](#busqueda-binaria) +- [Información adicional](#información-adicional) + - [Búsqueda binaria](#búsqueda-binaria) - [Operaciones bit a bit](#operaciones-bit-bit) - [Trees](#trees) - [Trees - Notes & Background](#trees---notes--background) @@ -89,10 +89,10 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - adjacency matrix - adjacency list - traversals: BFS, DFS -- [Información adicional](#informacion-adicional) - - [Recursión](#recursion) - - [Programación Dinámica](#programacion-dinamica) - - [Programación Orientada a Objetos](#programacion-orientada-a-objetos) +- [Información adicional](#información-adicional) + - [Recursión](#recursión) + - [Programación Dinámica](#programación-dinámica) + - [Programación Orientada a Objetos](#programación-orientada-a-objetos) - [Patrones de diseño](#patrones-de-diseño) - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) @@ -109,8 +109,8 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Endianness](#endianness) - [Redes](#redes) - [Diseño del Sistema, Escalabilidad, Manejo de Datos](#diseño-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) -- [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) -- [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) +- [Practica de preguntas de codificación](#practica-de-preguntas-de-codificación) +- [Ejercicios de codificación/Desafíos](#ejercicios-de-codificación-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) - [Tu CV](#tu-cv) - [Pensando en cuando llegue la entrevista](#pensando-en-cuando-llegue-la-entrevista) @@ -123,25 +123,25 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Aprendizaje adicional](#aprendizaje-adicional) - [Compiladores](#compiladores) - [Emacs y Vi(m)](#emacs-y-vim) - - [Unix: Herramientas para la línea de comandos](#unix-herramienta-para-la-linea-de-comandos) - - [Teoría de la información](#teoria-de-la-informacion) - - [Código de paridad y Hamming](#codigo-de-paridad-y-hamming) - - [Entropía](#entropia) - - [Criptografía](#cryptografia) + - [Unix: Herramientas para la línea de comandos](#unix-herramientas-para-la-línea-de-comandos) + - [Teoría de la información](#teoría-de-la-información) + - [Código de paridad y Hamming](#código-de-paridad-y-hamming) + - [Entropía](#entropía) + - [Criptografía](#criptografía) - [Compression](#compression) - - [Seguridad informática](#seguridad-informatica) + - [Seguridad informática](#seguridad-informática) - [Garbage collection](#garbage-collection) - [Programación en paralelo](#programacion-en-paralelo) - - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajeria-serializacion-y-cola) + - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajería-serialización-y-cola) - [A*](#a) - - [Transformada rápida de Fourier](#transformada-rapida-de-fourier) + - [Transformada rápida de Fourier](#transformada-rápida-de-fourier) - [Bloom Filter](#bloom-filter) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - [van Emde Boas Trees](#van-emde-boas-trees) - [Estructuras de datos aumentadas](#estructuras-de-datos-aumentadas) - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Árboles de búsqueda equilibrada](#arboles-de-busqueda-equilibrada) + - [Árboles de búsqueda equilibrada](#árboles-de-búsqueda-equilibrada) - AVL trees - Splay trees - Red/black trees @@ -153,15 +153,15 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Skip lists](#skip-lists) - [Flujos de red](#flujos-de-red) - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Matemáticas para procesamiento rápido](#matematicas-para-procesamiento-rapido) + - [Matemáticas para procesamiento rápido](#mmatemáticas-para-procesamiento-rápido) - [Treap](#treap) - - [Programación Lineal](#programacion-lineal) - - [Geometría, casco convexo](#geometria-casco-convexo) - - [Matemáticas discretas](#matematicas-discretas) + - [Programación Lineal](#programación-lineal) + - [Geometría, casco convexo](#geometría-casco-convexo) + - [Matemáticas discretas](#matemáticas-discretas) - [Machine Learning](#machine-learning) - [Detalles adicionales de ciertos temas](#detalles-adicionales-de–ciertos-temas) - [Series de videos](#series-de-videos) -- [Cursos de Informática](#cursos-de-informatica) +- [Cursos de Informática](#cursos-de-informática) --- From da693e566e3b0b226e056e308b7cf256afbe1702 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 02:01:35 -0500 Subject: [PATCH 32/94] How to use it --- README-es.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README-es.md b/README-es.md index b192e496b7..3ac3df1361 100644 --- a/README-es.md +++ b/README-es.md @@ -173,16 +173,16 @@ Pero después de pasar por todo este plan de estudios tengo mucha confianza de q Es un plan largo, puede tome unos meses; pero si le resulta familiar mucho de esto le tomara mucho menos tiempo. -## How to use it +## Como usarlo -Everything below is an outline, and you should tackle the items in order from top to bottom. +Todo lo que aparece abajo es un plan, y debería abordar los elementos en orden de arriba a abajo. -I'm using Github's special markdown flavor, including tasks lists to check progress. +Estoy usando el tema especial de markdown de Github, incluyendo listas de tareas para comprobar el progreso. -**Create a new branch so you can check items like this, just put an x in the brackets: [x]** +[] **Cree una nueva rama para que pueda validar elementos como este, solo ponga una x en los corchetes: [x]** - Fork a branch and follow the commands below + Haga fork a una rama y siga los comandos siguientes `git checkout -b progress` @@ -190,7 +190,7 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git fetch --all` - Mark all boxes with X after you completed your changes + Marque todas las cajas con una x después de que completa los cambios `git add . ` @@ -200,7 +200,7 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git push --force ` -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) +[Más acerca de los temas de Github para markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) ## Don't feel you aren't smart enough - Successful software engineers are smart, but many have an insecurity that they aren't smart enough. From 01a8459313f19490d0be88b86a4817d82f0c93e3 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 02:11:01 -0500 Subject: [PATCH 33/94] Video --- README-es.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README-es.md b/README-es.md index 3ac3df1361..34bd1a68c1 100644 --- a/README-es.md +++ b/README-es.md @@ -53,7 +53,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [¿Por qué usarlo?](#por-qué-usarlo) - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) -- [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) +- [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-vídeo) - [Prepárese para la entrevista](#prepárese-para-la-entrevista) - [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) @@ -202,18 +202,18 @@ Estoy usando el tema especial de markdown de Github, incluyendo listas de tareas [Más acerca de los temas de Github para markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Don't feel you aren't smart enough -- Successful software engineers are smart, but many have an insecurity that they aren't smart enough. +## No sienta no es lo suficientemente listo +- Los ingenieros de software exitosos son inteligentes pero muchos tienen la inseguridad de no ser lo suficientemente listos. - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) -## About Video Resources +## Acerca de los recursos de vídeo +Algunos videos solo están disponibles inscribiéndose a una clase de Coursera, EdX, o Lynda.com. Estos son llamados MOOCs. +En ocasiones las clases no están en sesión por lo que tendrá que esperar un par de meses, por lo que no tiene acceso. Los cursos de Lynda.com no son gratuitos. -Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. -Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. - - I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. - I like using university lectures. +Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. + + Me gusta usa lecturas de universidad. ## Interview Process & General Interview Prep From 08cf611f0d8af8e8452bb641c3b1cc3c4d8449ef Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 02:37:38 -0500 Subject: [PATCH 34/94] Sections --- README-es.md | 56 +++++++++++++++++++++++++--------------------------- 1 file changed, 27 insertions(+), 29 deletions(-) diff --git a/README-es.md b/README-es.md index 34bd1a68c1..1ac3d08ecc 100644 --- a/README-es.md +++ b/README-es.md @@ -216,8 +216,7 @@ Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuita Me gusta usa lecturas de universidad. -## Interview Process & General Interview Prep - +## Prepárese para la entrevista - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) @@ -234,57 +233,56 @@ Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuita - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. -## Pick One Language for the Interview +## Escoja un lenguaje para la entrevista -You can use a language you are comfortable in to do the coding part of the interview, but for large companies, these are solid choices: +Puede usar un lenguaje con el que este cómodo para hacer la parte de código para la entrevista, pero para las grandes compañías, estas son buenas elecciones: - C++ - Java - Python -You could also use these, but read around first. There may be caveats: +También podrías usar éstos, pero busca información primero. Puede haber advertencias: - JavaScript - Ruby -You need to be very comfortable in the language and be knowledgeable. +Debes sentirte muy cómodo con el lenguaje y ser experto. -Read more about choices: +Lee más acerca de opciones: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ -[See language resources here](programming-language-resources.md) - -You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. +[Ve recursos de programas aquí](programming-language-resources.md) -## Book List +Verás algunos materiales de aprendizaje de C, C++ y Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve al final. -This is a shorter list than what I used. This is abbreviated to save you time. +## Lista de libros -### Interview Prep +Ésta es una lista más corta que la que yo usé. Está abreviada para ahorrarle tiempo. +### Preparación para la entrevista - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C++ and Java - - this is a good warm-up for Cracking the Coding Interview - - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) + - Respuestas en C++ y Java + - Este es un buen calentamiento para Cracking the Coding Interview + - No muy difícil, muchos problemas pueden ser más sencillos de los que verá en la entrevista (Por lo que he leído) - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java + - Respuestas en Java -If you have tons of extra time: +Si tiene mucho tiempo extra: - [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - [ ] Elements of Programming Interviews (Java version) - [book](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) - [Companion Project - Method Stub and Test Cases for Every Problem in the Book](https://github.com/gardncl/elements-of-programming-interviews) -### Computer Architecture +### Arquitectura de Computadores -If short on time: +Si esta corto de tiempo: - [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - - The book was published in 2004, and is somewhat outdated, but it's a terrific resource for understanding a computer in brief. - - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. - - These chapters are worth the read to give you a nice foundation: + - El libro fue publicado en 2004, y es algo anticuado pero es un recurso fantástico para la comprensión de una computadora en breve. + - El autor inventó HLA, por lo que tiene muchas menciones y ejemplos en HLA. No es ampliamente utilizado, pero los ejemplos son decentes para ver como es un lenguaje ensamblador. + - Estos capítulos valen la pena ser leidos para brindarle una buena base: - Chapter 2 - Numeric Representation - Chapter 3 - Binary Arithmetic and Bit Operations - Chapter 4 - Floating-Point Representation @@ -295,17 +293,17 @@ If short on time: - Chapter 10 - Instruction Set Architecture - Chapter 11 - Memory Architecture and Organization -If you have more time (I want this book): +Si tiene más tiempo (Yo quiero este libro): - [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - - For a richer, more up-to-date (2011), but longer treatment + - Para un tratamiento más rico y actualizado (2011), pero un trato más largo. -### Language Specific +### Específicos del lenguaje -**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. +**Necesita escoger un lenguaje para la entrevista (mire arriba).** Aquí están mis recomendaciones por lenguaje. No tengo recursos para todos los lenguajes. Son bienvenidas adiciones. -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the video lectures in this project**, unless you'd like a review. +Si ha leído alguno de estos, probablemente tenga todos los conocimientos de estructuras de datos y algoritmos que necesitara para hacer problemas de codificación. +**Puede saltarse todas las video-lecturas en este proyecto **, a menos que quiera una crítica. [Additional language-specific resources here.](programming-language-resources.md) From 032c818944113d1ca468cb1a723a3587e1175162 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 18:09:06 -0500 Subject: [PATCH 35/94] Books --- README-es.md | 82 +++++++++++++++++++++++++--------------------------- 1 file changed, 40 insertions(+), 42 deletions(-) diff --git a/README-es.md b/README-es.md index 1ac3d08ecc..2cc5d67c4b 100644 --- a/README-es.md +++ b/README-es.md @@ -281,8 +281,8 @@ Si esta corto de tiempo: - [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - El libro fue publicado en 2004, y es algo anticuado pero es un recurso fantástico para la comprensión de una computadora en breve. - - El autor inventó HLA, por lo que tiene muchas menciones y ejemplos en HLA. No es ampliamente utilizado, pero los ejemplos son decentes para ver como es un lenguaje ensamblador. - - Estos capítulos valen la pena ser leidos para brindarle una buena base: + - El autor inventó HLA, por lo que tiene muchas menciones y ejemplos en HLA. No es ampliamente utilizado, pero los ejemplos son decentes para ver cómo es un lenguaje ensamblador. + - Estos capítulos valen la pena ser leídos para brindarle una buena base: - Chapter 2 - Numeric Representation - Chapter 3 - Binary Arithmetic and Bit Operations - Chapter 4 - Floating-Point Representation @@ -303,18 +303,18 @@ Si tiene más tiempo (Yo quiero este libro): **Necesita escoger un lenguaje para la entrevista (mire arriba).** Aquí están mis recomendaciones por lenguaje. No tengo recursos para todos los lenguajes. Son bienvenidas adiciones. Si ha leído alguno de estos, probablemente tenga todos los conocimientos de estructuras de datos y algoritmos que necesitara para hacer problemas de codificación. -**Puede saltarse todas las video-lecturas en este proyecto **, a menos que quiera una crítica. +**Puede saltarse todas las video-lecturas en este proyecto**, a menos que quiera una crítica. -[Additional language-specific resources here.](programming-language-resources.md) +[Recursos adicionales específicos del lenguaje aquí.](programming-language-resources.md) ### C++ -I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. +No he leído estos dos, pero están altamente calificados y escritos por Sedgewick. Él es asombroso. - [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) - [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) -If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. +Si tiene una mejor recomendación para C++ por favor hágamelo saber. Busco fuentes comprensivas. ### Java @@ -323,61 +323,59 @@ If you have a better recommendation for C++, please let me know. Looking for a c - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) -OR: +O: - [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - - by Goodrich, Tamassia, Goldwasser - - used as optional text for CS intro course at UC Berkeley - - see my book report on the Python version below. This book covers the same topics. + - Por Goodrich, Tamassia, Goldwasser + - Usado como texto opcional en el curso de Informática impartido en UC Berkeley + - Vea mi reporte de la versión de Python debajo. Este libro abarca los mismos tópicos. ### Python - [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - - by Goodrich, Tamassia, Goldwasser - - I loved this book. It covered everything and more. - - Pythonic code - - my glowing book report: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ + - Por Goodrich, Tamassia, Goldwasser + - Ame este libro. Cubre todo y más. + - Código Pythonioco + - Mi brillante reporte del libro : https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ -### Optional Books +### Libros Opcionales -**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** +**Algunas personas recomiendan estos pero creo exageran, a menos que tenga muchos años de experiencia en Ingeniería de Software y espere una entrevista mucho más difícil:** - [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - - As a review and problem recognition - - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. - - This book has 2 parts: - - class textbook on data structures and algorithms - - pros: - - is a good review as any algorithms textbook would be - - nice stories from his experiences solving problems in industry and academia - - code examples in C - - cons: - - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects - - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have - - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. - - algorithm catalog: - - this is the real reason you buy this book. - - about to get to this part. Will update here once I've made my way through it. - - Can rent it on kindle - - Half.com is a great resource for textbooks at good prices. - - Answers: + - Como un resumen y un reconocimiento de problemas + - La porción del catálogo de algoritmos está más allá del alcance de la dificultad que obtendrá en una entrevista. + - Este libro consta de dos partes: + - Libro de clase sobre estrcutura de datos y algoritmos + - Pros: + - Es un buen resumen como cualquier libro de algoritmos debe ser + - Buenas historias de sus experiencias resolviendo problemas en la industria y en la academia + - Ejemplos codificados en C + - Cons: + - Puede ser así de denso o impenetrable como los CLRS, en algunos casos, los CLRS pueden proveer una mejor alternativa para algunos temas + - Capítulos 7, 8, 9 pueden ser un martirio intentar darles seguimiento, ya que no están bien explicados o requieren más cerebro del que tengo + - No me malentiendan: Me gusta Skiena, su estilo de enseñanza y manierismos, pero no puedo ser material de Stony Brook. + - Catálogo de algoritmos: + - Es la verdadera razón para comprar el libro. + - Actualizare esto, una vez haya pasado por este. + - Se puede rentar en Kindle + - Half.com es un gran recurso para libros de textos a buen precio. + - Respuestas: - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - Half.com is a great resource for textbooks at good prices. - - aka CLR, sometimes CLRS, because Stein was late to the game + - **Importante:** Leer este libro tendrá un valor limitado. Este libro es un buen resumen de algoritmos y estructuras de datos, pero no le enseñará como escribir un buen código. Necesita ser capaz de codificar una solución decente eficientemente. + - Half.com es un buen recurso para libros a buenos precios. + - Aka CLR, a veces CLRS, porque Stein llego tarde al juego - [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) - - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but - that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - + - El primer par de capítulos presentan soluciones inteligentes a problemas de programación (algunos muy antiguos con cinta de datos) pero solo es una introducción. Esta es una guía sobre el diseño y la arquitectura del programa, como Code Complete, pero mucho más corto. - ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - - Would rather spend time on coding problems from another book or online coding problems. + - Un buen libro, pero después de trabajar con algunos problemas me fruste con Pascal, ciclos do while, 1-arreglos indexados y resultados poco claros de satisfacción post-condición. + - Prefiero pasar tiempo en problemas de codificación de otro libro o problemas de codificación en línea. ## Before you Get Started From f5530cebc6c3784e14ff0df1178937e2dad12eff Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 20:00:11 -0500 Subject: [PATCH 36/94] Getting started --- README-es.md | 45 +++++++++++++++++++++------------------------ 1 file changed, 21 insertions(+), 24 deletions(-) diff --git a/README-es.md b/README-es.md index 2cc5d67c4b..a0ac4dadef 100644 --- a/README-es.md +++ b/README-es.md @@ -378,54 +378,51 @@ O: - Prefiero pasar tiempo en problemas de codificación de otro libro o problemas de codificación en línea. -## Before you Get Started +## Antes de iniciar -This list grew over many months, and yes, it kind of got out of hand. +Esta lista creció a lo largo de varios meses, y sí, está un poco fuera de las manos. -Here are some mistakes I made so you'll have a better experience. +Aquí algunos de mis errores para que pueda tener una mejor experiencia. -### 1. You Won't Remember it All +### 1. No recordará todo -I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going -through my notes and making flashcards so I could review. +Vi horas de video y tomé notas exactas de ellos, meses después había mucho que no recordaba. Pase tres días entre mis notas y haciendo tarjetas para poder repasar. +. -Read please so you won't make my mistakes: +Lea por favor para que no cometa mis errores: [Retaining Computer Science Knowledge](https://startupnextdoor.com/retaining-computer-science-knowledge/) -### 2. Use Flashcards +### 2. Use tarjetas para recordar -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. +Para solucionar el problema construí un pequeño sitio de tarjetas para recordar donde podía añadir tarjetas de dos tipos: general y código. +Cada tarjeta tiene distinto formato. -I made a mobile-first website so I could review on my phone and tablet, wherever I am. +Hice un sitio adaptado a moviles para revisarlo en mi celular y en mi Tablet, donde quiera estuviera. -Make your own for free: +Haga el suyo gratis: - [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) - [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required. +Tenga en cuenta que empecé desde abajo y hay tarjetas que cubren todo, desde el lenguaje ensamblador y la trivia Python al Machine Learning y estadísticas. Es demasiado para lo que se requiere. -**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the -same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in -your brain. +**Nota en las tarjetas:** La primera vez reconozca sabe la respuesta, no marque como conocido; necesita contestar muchas veces correctamente antes de que en realidad lo sepa. La repetición pondrá ese conocimiento de forma más profunda en su cerebro. -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. -It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. +Una alternativa a usar mi sitio de tarjetas es [Anki](http://ankisrs.net/), que me ha sido recomendado muchas veces. Usa un sistema de repetición para ayudarle a recordar. Es amigable con el usuario y disponible para todas las plataformas y tiene un sistema de sincronización en la nube. Cuesta $25 en iOS pero es gratuito en las otras plataformas. -My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) +Mis tarjetas en ek formato de Anki: https://ankiweb.net/shared/info/25173560 (Gracias[@xiewenya](https://github.com/xiewenya)) -### 3. Review, review, review +### 3. Revise, revise, revise -I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. +Mantuve una serie de hojas clave en ASCII, OSI stack, notación Big-O y más. Las estudie cuando tenía tiempo libre. -Take a break from programming problems for a half hour and go through your flashcards. +Tome un descanso de los problemas de programación por media hora y repase sus tarjetas. -### 4. Focus +### 4. Enfóquese -There are a lot of distractions that can take up valuable time. Focus and concentration are hard. +Hay muchas distracciones le pueden quitar tiempo valioso. Enfocarse y concentrarse es difícil. ## What you won't see covered From 6fbcd022d3d9b4e57fb244f7ee8d13d2af787268 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 20:23:02 -0500 Subject: [PATCH 37/94] Correct structure --- README-es.md => translations/README-es.md | 0 README-he.md => translations/README-he.md | 0 README-hi.md => translations/README-hi.md | 0 3 files changed, 0 insertions(+), 0 deletions(-) rename README-es.md => translations/README-es.md (100%) rename README-he.md => translations/README-he.md (100%) rename README-hi.md => translations/README-hi.md (100%) diff --git a/README-es.md b/translations/README-es.md similarity index 100% rename from README-es.md rename to translations/README-es.md diff --git a/README-he.md b/translations/README-he.md similarity index 100% rename from README-he.md rename to translations/README-he.md diff --git a/README-hi.md b/translations/README-hi.md similarity index 100% rename from README-hi.md rename to translations/README-hi.md From e49eb423cbf76a2769616a5aafc00c06e52d251d Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Tue, 23 May 2017 01:08:14 -0500 Subject: [PATCH 38/94] Daily plan --- .gitignore | 1 + translations/README-es.md | 49 ++++++++++++++++++++------------------- 2 files changed, 26 insertions(+), 24 deletions(-) diff --git a/.gitignore b/.gitignore index 3cf84a2de4..cff2525ded 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,4 @@ .idea personal-9894.md ~$ADME-es.txt +translations/~$ADME-es.md diff --git a/translations/README-es.md b/translations/README-es.md index a0ac4dadef..dea90d9894 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -213,7 +213,7 @@ En ocasiones las clases no están en sesión por lo que tendrá que esperar un p Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. - Me gusta usa lecturas de universidad. + Me gustan recursos provenientes de universidades. ## Prepárese para la entrevista @@ -229,9 +229,9 @@ Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuita - [ ] Prep Course: - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. + - Aprenda como alistarse para una entrevista de Ingeniería de Software con un entrevistador de Google. - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): - - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. + - Un curso enfocado a una entrevista centrada en Python; que cubre estructuras de datos, algoritmos, plantillas de entrevistas y mucho más. ## Escoja un lenguaje para la entrevista @@ -424,43 +424,44 @@ Tome un descanso de los problemas de programación por media hora y repase sus t Hay muchas distracciones le pueden quitar tiempo valioso. Enfocarse y concentrarse es difícil. -## What you won't see covered +## Lo que no verá cubierto -These are prevalent technologies but not part of this study plan: +Estas son tecnologías predominantes, pero no están cubiertas por este plan de estudios: - SQL - Javascript -- HTML, CSS, and other front-end technologies +- HTML, CSS, y otras tecnologías front-end -## The Daily Plan +## El plan diario -Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. +Algunos temas tomarán un día y otros tomarán varios. Algunos son solo para aprender sin nada que implementar. -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: -- C - using structs and functions that take a struct * and something else as args. -- C++ - without using built-in types -- C++ - using built-in types, like STL's std::list for a linked list -- Python - using built-in types (to keep practicing Python) -- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements -- You may do Java or something else, this is just my thing. +Cada día yo tomé un tema de los siguientes, vi videos sobre el tema y escribía una implementación: -You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). +- C - usando estructuras y funciones que toman una estructura * y otra cosa como argumentos. +- C++ - sin utilizar tipos incorporados +- C++ - usando tipos incorporados, como std::list de STL para una lista enlazada +- Python - usando tipos incorporados (para seguir practicando Python) +- y escribir pruebas para asegurarme de que lo estoy haciendo bien, a veces simplemente usando simples declaraciones assert() +- Puede hacer Java o algo más, esto es solo lo mío. -Why code in all of these? -- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) -- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) -- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) +No necesita todo esto. Solo necesita [un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista). -I may not have time to do all of these for every subject, but I'll try. +¿Por qué codificar en todo esto? +- Práctica, práctica, práctica… hasta que me canse de ello y pueda hacerlo sin ningún problema (algunos usan técnicas y marcadores para recordar) +- Trabajar dentro de las restricciones primarias (asignar / liberar memoria sin ayuda del garbage collection (excepto Python)) +- Hacer uso de los tipos incorporados para que tenga experiencia usando las herramientas de tipos incorporados para su uso en el mundo real (no escribiré mi propia implementación de listas enlazadas en producción) -You can see my code here: +Puede que no tenga tiempo de hacer todo esto para cada tema, pero lo intentare. + +Puede ver mi código aquí: - [C](https://github.com/jwasham/practice-c) - [C++](https://github.com/jwasham/practice-cpp) - [Python](https://github.com/jwasham/practice-python) -You don't need to memorize the guts of every algorithm. +No es necesario recordar las entrañas de cada algoritmo. -Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. +Escriba código en un pizarrón o en papel no en la computadora. Pruebe con alguna entrada de prueba. Después pruébelos en la computadora. ## Prerequisite Knowledge From bc7b672e23ade02cdd777d58804943bbc749bad7 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Tue, 23 May 2017 01:45:16 -0500 Subject: [PATCH 39/94] Links --- translations/README-es.md | 130 ++++++++++++++++++-------------------- 1 file changed, 61 insertions(+), 69 deletions(-) diff --git a/translations/README-es.md b/translations/README-es.md index dea90d9894..9b6be574a6 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -59,8 +59,8 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Lista de libros](#lista-de-libros) - [Antes de iniciar](#antes-de-iniciar) - [Lo que no verá cubierto](#lo-que-no-verá-cubierto) -- [Conocimientos Previos](#conocimientos-previos) - [El plan diario](#el-plan-diario) +- [Conocimientos Previos](#conocimientos-previos) - [Complejidad algorítmica / Big-O / Análisis asintótico](#complejidad-algorítmica-big-o-análisis-asintótico) - [Estructuras de datos](#estructuras-de-datos) - [Arreglos](#arreglos) @@ -89,7 +89,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - adjacency matrix - adjacency list - traversals: BFS, DFS -- [Información adicional](#información-adicional) +- [Más información adicional](#más-información-adicional) - [Recursión](#recursión) - [Programación Dinámica](#programación-dinámica) - [Programación Orientada a Objetos](#programación-orientada-a-objetos) @@ -112,7 +112,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificación) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificación-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) -- [Tu CV](#tu-cv) +- [Su CV](#su-cv) - [Pensando en cuando llegue la entrevista](#pensando-en-cuando-llegue-la-entrevista) - [Preguntas para el entrevistador](#preguntas-para-el-entrevistador) - [Una vez obtenido el empleo](#una-vez-obtenido-el-empleo) @@ -463,21 +463,20 @@ No es necesario recordar las entrañas de cada algoritmo. Escriba código en un pizarrón o en papel no en la computadora. Pruebe con alguna entrada de prueba. Después pruébelos en la computadora. -## Prerequisite Knowledge +## Conocimientos Previos -- [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. +- [ ] **Aprenda C** + - C esta en todos lados. Verá ejemplos en libros, lecturas, videos, *en todo lugar* mientras esté estudiando. - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little - you'll quickly get proficient. Understanding C helps you understand how programs and memory work. + - Este es un libro corto, pero le dará una gran manejo en el lenguaje C y si lo practica un poco, rápidamente conseguirá ser experto. Comprender C le ayuda a entender cómo funcionan los programas y la memoria. - [answers to questions](https://github.com/lekkas/c-algorithms) -- [ ] **How computers process a program:** +- [ ] **Como las computadoras procesan un programa:** - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) -## Algorithmic complexity / Big-O / Asymptotic analysis -- nothing to implement +## Complejidad algorítmica / Big-O / Análisis asintótico +- Nada a implementar - [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) - [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) - [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) @@ -497,14 +496,13 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Cheat sheet](http://bigocheatsheet.com/) - If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics videos to get the background knowledge. + Si algunas de las lecturas son muy matemáticas puede saltar a la parte inferior y ver las matemáticas discretas para tener el conocimiento base. -## Data Structures +## Estructuras de datos -- ### Arrays - - Implement an automatically resizing vector. - - [ ] Description: +- ### Arreglos + - Implemente un vector automáticamente redimensionable. + - [ ] Descripción: - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) @@ -513,8 +511,8 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - - [ ] Implement a vector (mutable array with automatic resizing): - - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. + - [ ] Implemente un vector (Arreglo mutable con redimensionamiento automático): + - [ ] Practique codificar usando arreglos y apuntadores, y un apuntador matemático para saltar a un índice en lugar de utilizar la indexación. - [ ] new raw data array with allocated memory - can allocate int array under the hood, just not use its features - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 @@ -539,8 +537,8 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - contiguous in memory, so proximity helps performance - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) -- ### Linked Lists - - [ ] Description: +- ### Listas Enlazadas + - [ ] Descripción: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) @@ -568,7 +566,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - [ ] reverse() - reverses the list - [ ] remove_value(value) - removes the first item in the list with this value - - [ ] Doubly-linked List + - [ ] Doble lista enlazada - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - No need to implement @@ -626,9 +624,8 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - get(key) - remove(key) -## More Knowledge - -- ### Binary search +## Información adicional +- ### Búsqueda binaria - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) @@ -636,7 +633,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - binary search (on sorted array of integers) - binary search using recursion -- ### Bitwise operations +- ### Operaciones bit a bit - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) @@ -879,9 +876,8 @@ Graphs can be used to represent many problems in computer science, so this secti You'll get more graph practice in Skiena's book (see Books section below) and the interview books -## Even More Knowledge - -- ### Recursion +## Más información adicional +- ### Recursión - [ ] Stanford lectures on recursion & backtracking: - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) @@ -892,7 +888,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) -- ### Dynamic Programming +- ### Programación Dinámica - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - [ ] Videos: @@ -917,7 +913,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) -- ### Object-Oriented Programming +- ### Programación Orientada a Objetos - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - Can skip this if you have a great grasp of OO and OO design practices. @@ -938,7 +934,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) -- ### Design patterns +- ### Patrones de diseño - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - [ ] Learn these patterns: - [ ] strategy @@ -1149,8 +1145,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - Very technical talk for kernel devs. Don't worry if most is over your head. - The first half is enough. -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** +- ### Redes + - **Si tiene experiencia en redes o quiere se un Ingeniero en Sistemas espere preguntas** - otherwise, this is just good to know - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) @@ -1166,7 +1162,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) -## System Design, Scalability, Data Handling +## Diseño del Sistema, Escalabilidad, Manejo de Datos - **You can expect system design questions if you have 4+ years of experience.** - Scalability and System Design are very large topics with many topics and resources, since there is a lot to consider when designing a software/hardware system that can scale. @@ -1332,7 +1328,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th --- -## Coding Question Practice +## Practica de preguntas de codificación Now that you know all the computer science topics above, it's time to practice answering coding problems. @@ -1372,8 +1368,7 @@ Supplemental: See [Book List above](#book-list) -## Coding exercises/challenges - +## Ejercicios de codificación/Desafíos Once you've learned your brains out, put those brains to work. Take coding challenges every day, as many as you can. @@ -1405,19 +1400,18 @@ Mock Interviews: - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) - [Refdash: Mock interviews](https://refdash.com/) -## Once you're closer to the interview - +## Una vez cerca de la entrevista - [ ] Cracking The Coding Interview Set 2 (videos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) -## Your Resume +## Su CV - See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed -## Be thinking of for when the interview comes +## Pensando en cuando llegue la entrevista Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. Have a story, not just data, about something you accomplished. @@ -1435,7 +1429,7 @@ Have a story, not just data, about something you accomplished. - What did you learn at [job x / project y]? - What would you have done better at [job x / project y]? -## Have questions for the interviewer +## Preguntas para el entrevistador Some of mine (I already may know answer to but want their opinion or team perspective): @@ -1449,7 +1443,7 @@ Have a story, not just data, about something you accomplished. - What do you like about it? - What is the work life like? -## Once You've Got The Job +## Una vez obtenido el empleo Congratulations! @@ -1471,8 +1465,7 @@ You're never really done. --- -## Additional Books - +## Libros adicionales - [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - an oldie but a goodie - [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) @@ -1485,18 +1478,18 @@ You're never really done. - the canonical design patterns book - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) -## Additional Learning +## Aprendizaje adicional These topics will likely not come up in an interview, but I added them to help you become a well-rounded software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. -- ### Compilers +- ### Compiladores - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) -- ### Emacs and vi(m) +- ### Emacs y Vi(m) - Familiarize yourself with a unix-based code editor - vi(m): - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) @@ -1517,7 +1510,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) -- ### Unix command line tools +- ### Unix: Herramientas para la línea de comandos - I filled in the list below from good tools. - [ ] bash - [ ] cat @@ -1531,7 +1524,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) -- ### Information theory (videos) +- ### Teoría de la información (videos) - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - [ ] more about Markov processes: - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) @@ -1539,7 +1532,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - See more in MIT 6.050J Information and Entropy series below. -- ### Parity & Hamming Code (videos) +- ### Código de paridad y Hamming (videos) - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - [ ] Hamming Code: @@ -1547,12 +1540,12 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) -- ### Entropy +- ### Entropía - also see videos below - make sure to watch information theory videos first - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) -- ### Cryptography +- ### Criptografía - also see videos below - make sure to watch information theory videos first - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) @@ -1571,7 +1564,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) -- ### Computer Security +- ### Seguridad informática - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) @@ -1593,11 +1586,10 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) -- ### Parallel Programming - - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) +- ### Programación en paralelo - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) -- ### Messaging, Serialization, and Queueing Systems +- ### Sistemas de mensajería, serialización y colas - [ ] [Thrift](https://thrift.apache.org/) - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) @@ -1624,7 +1616,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) -- ### Fast Fourier Transform +- ### Transformada rápida de Fourier - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) @@ -1650,10 +1642,10 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) -- ### Augmented Data Structures +- ### Estructuras de datos aumentadas - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) -- ### Balanced search trees +- ### Árboles de búsqueda equilibrada - Know least one type of balanced binary tree (and know how it's implemented): - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. A particularly interesting self-organizing data structure is the splay tree, which uses rotations @@ -1755,7 +1747,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) -- ### Network Flows +- ### Flujos de red - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) @@ -1764,7 +1756,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) -- ### Math for Fast Processing +- ### Matemáticas para procesamiento rápido - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) @@ -1774,18 +1766,18 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) -- ### Linear Programming (videos) +- ### Programación Lineal (videos) - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) -- ### Geometry, Convex hull (videos) +- ### Geometría, casco convexo (videos) - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) -- ### Discrete math +- ### Matemáticas discretas - see videos below - ### Machine Learning @@ -1817,7 +1809,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo -- -## Additional Detail on Some Subjects +## Detalles adicionales de ciertos temas I added these to reinforce some ideas already presented above, but didn't want to include them above because it's just too much. It's easy to overdo it on a subject. @@ -1887,7 +1879,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) -## Video Series +## Series de videos Sit back and enjoy. "Netflix and skill" :P @@ -1951,7 +1943,7 @@ Sit back and enjoy. "Netflix and skill" :P - [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) -## Computer Science Courses +## Cursos de Informática - [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) - [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) From 053574ffb5fe6698eb0359fbce2c736b5def39c0 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Tue, 23 May 2017 03:57:35 -0500 Subject: [PATCH 40/94] Redesigning the structure I've been thinking deeply that maybe translating only the titles, topics, and comments are not so useful to people who can't understand English. Although understanding English is essential. It make no sense to do a translation if the resource is in English and the titles in another language. So I propose to give alternatives resources to the translated language to approximate the result to the original given. To make this process easier I will do some mock-ups. In the case of video lessons I would try to synthesize the information like a flashcard. (As the author did for remember the lessons). --- translations/{README-ar.md => ar/README.md} | 0 translations/{README-cn.md => cn/README.md} | 0 translations/{README-es.md => es/README.md} | 0 translations/{README-fr.md => fr/README.md} | 0 translations/{README-he.md => he/README.md} | 0 translations/{README-hi.md => hi/README.md} | 0 translations/{README-id.md => id/README.md} | 0 translations/{README-ko.md => ko/README.md} | 0 translations/{ => mock-up}/how-to.md | 0 translations/{README-pl.md => pl/README.md} | 0 translations/{README-th.md => th/README.md} | 0 translations/{README-uk.md => uk/README.md} | 0 translations/{README-vi.md => vi/README.md} | 0 13 files changed, 0 insertions(+), 0 deletions(-) rename translations/{README-ar.md => ar/README.md} (100%) rename translations/{README-cn.md => cn/README.md} (100%) rename translations/{README-es.md => es/README.md} (100%) rename translations/{README-fr.md => fr/README.md} (100%) rename translations/{README-he.md => he/README.md} (100%) rename translations/{README-hi.md => hi/README.md} (100%) rename translations/{README-id.md => id/README.md} (100%) rename translations/{README-ko.md => ko/README.md} (100%) rename translations/{ => mock-up}/how-to.md (100%) rename translations/{README-pl.md => pl/README.md} (100%) rename translations/{README-th.md => th/README.md} (100%) rename translations/{README-uk.md => uk/README.md} (100%) rename translations/{README-vi.md => vi/README.md} (100%) diff --git a/translations/README-ar.md b/translations/ar/README.md similarity index 100% rename from translations/README-ar.md rename to translations/ar/README.md diff --git a/translations/README-cn.md b/translations/cn/README.md similarity index 100% rename from translations/README-cn.md rename to translations/cn/README.md diff --git a/translations/README-es.md b/translations/es/README.md similarity index 100% rename from translations/README-es.md rename to translations/es/README.md diff --git a/translations/README-fr.md b/translations/fr/README.md similarity index 100% rename from translations/README-fr.md rename to translations/fr/README.md diff --git a/translations/README-he.md b/translations/he/README.md similarity index 100% rename from translations/README-he.md rename to translations/he/README.md diff --git a/translations/README-hi.md b/translations/hi/README.md similarity index 100% rename from translations/README-hi.md rename to translations/hi/README.md diff --git a/translations/README-id.md b/translations/id/README.md similarity index 100% rename from translations/README-id.md rename to translations/id/README.md diff --git a/translations/README-ko.md b/translations/ko/README.md similarity index 100% rename from translations/README-ko.md rename to translations/ko/README.md diff --git a/translations/how-to.md b/translations/mock-up/how-to.md similarity index 100% rename from translations/how-to.md rename to translations/mock-up/how-to.md diff --git a/translations/README-pl.md b/translations/pl/README.md similarity index 100% rename from translations/README-pl.md rename to translations/pl/README.md diff --git a/translations/README-th.md b/translations/th/README.md similarity index 100% rename from translations/README-th.md rename to translations/th/README.md diff --git a/translations/README-uk.md b/translations/uk/README.md similarity index 100% rename from translations/README-uk.md rename to translations/uk/README.md diff --git a/translations/README-vi.md b/translations/vi/README.md similarity index 100% rename from translations/README-vi.md rename to translations/vi/README.md From 05b4a7d264d50f0525e7890cac95c15566e367ef Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Tue, 23 May 2017 07:33:56 -0500 Subject: [PATCH 41/94] Build the presentation Need to rebuild the Google presentation from the video because the link was closed. This presentation can be used to translate it to other languages. 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el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1o}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 pasado}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 no}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fue}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 diferencia}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Trate}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 once}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 inicio}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ( }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 estudiando}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 tiempo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 completo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 desarrollar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mis}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 habilidades}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 ser}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 comercial}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ), }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 con}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 objetivo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ser}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 adquirido}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 (}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 esta}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 caso}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 contratado}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ) }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 compa\'f1\'eda}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 grande}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0 +\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 debe}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 saber}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 once}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fueron}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 muy}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 dif\'edciles}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 desarrollador}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 web}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autodidacta}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 quince}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1os}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 plan}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 estudios}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ciencias}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 Computaci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tom\'f3}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 practicar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 entrevista}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 pizarra}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 El}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 factor}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 motivante}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fue}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 iniciar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 nueva}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 carrera}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ingeniero}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 Software}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0 +\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 Bueno}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sali}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 zona}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 confort}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 e}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hice}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 muchos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 amigos}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 conecte}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 con}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 cada}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 gigante}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tecnol\'f3gico}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Noroeste}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Pac\'edfico}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 De}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 todos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ellos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 se}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 destac\'f3}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 empresa}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 innovadora}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 10 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1os}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 Me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 present\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 trav\'e9s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 referencia}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 quien}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hab\'eda}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 conocido}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 evento}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 inicios}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 del}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 2013, }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 e}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hice}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 proceso}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 enlistamiento}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb +\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Despu\'e9s} +{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tantos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 esfuerzo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sacrificio}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 preocupaci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sin}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 parar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 complace}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 anunciar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 finalmente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 !}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 lo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 logr\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 !}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0 +\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Hoy}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 acepte}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 oferta}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ingeniero}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Desarrollo}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Software}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 com}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par} +\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Trabajar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 es}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sue\'f1o}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 vuelto}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 realidad}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 trabajar\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 equipo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 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gobernanza}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Las}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 reglas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 configuraci\'f3n} +{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 permiten}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 administradores}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 crear}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 reglas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 comprueban}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autom\'e1ticamente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 configuraci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 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}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 registrados}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Config}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 as\'ed}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 definir}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 las}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 acciones}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 puede}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tomar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 solucionar}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 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3;\lsdpriority63 Medium Shading 1 Accent 3;\lsdpriority64 Medium Shading 2 Accent 3;\lsdpriority65 Medium List 1 Accent 3;\lsdpriority66 Medium List 2 Accent 3 +;\lsdpriority67 Medium Grid 1 Accent 3;\lsdpriority68 Medium Grid 2 Accent 3;\lsdpriority69 Medium Grid 3 Accent 3;\lsdpriority70 Dark List Accent 3;\lsdpriority71 Colorful Shading Accent 3;\lsdpriority72 Colorful List Accent 3;\lsdpriority73 Colorful Grid Accent 3 +;\lsdpriority60 Light Shading Accent 4;\lsdpriority61 Light List Accent 4;\lsdpriority62 Light Grid Accent 4;\lsdpriority63 Medium Shading 1 Accent 4;\lsdpriority64 Medium Shading 2 Accent 4;\lsdpriority65 Medium List 1 Accent 4;\lsdpriority66 Medium List 2 Accent 4 +;\lsdpriority67 Medium Grid 1 Accent 4;\lsdpriority68 Medium Grid 2 Accent 4;\lsdpriority69 Medium Grid 3 Accent 4;\lsdpriority70 Dark List Accent 4;\lsdpriority71 Colorful Shading Accent 4;\lsdpriority72 Colorful List Accent 4;\lsdpriority73 Colorful Grid Accent 4 +;\lsdpriority60 Light Shading Accent 5;\lsdpriority61 Light List Accent 5;\lsdpriority62 Light Grid Accent 5;\lsdpriority63 Medium Shading 1 Accent 5;\lsdpriority64 Medium Shading 2 Accent 5;\lsdpriority65 Medium List 1 Accent 5;\lsdpriority66 Medium List 2 Accent 5 +;\lsdpriority67 Medium Grid 1 Accent 5;\lsdpriority68 Medium Grid 2 Accent 5;\lsdpriority69 Medium Grid 3 Accent 5;\lsdpriority70 Dark List Accent 5;\lsdpriority71 Colorful Shading Accent 5;\lsdpriority72 Colorful List Accent 5;\lsdpriority73 Colorful Grid Accent 5 +;\lsdpriority60 Light Shading Accent 6;\lsdpriority61 Light List Accent 6;\lsdpriority62 Light Grid Accent 6;\lsdpriority63 Medium Shading 1 Accent 6;\lsdpriority64 Medium Shading 2 Accent 6;\lsdpriority65 Medium List 1 Accent 6;\lsdpriority66 Medium List 2 Accent 6 +;\lsdpriority67 Medium Grid 1 Accent 6;\lsdpriority68 Medium Grid 2 Accent 6;\lsdpriority69 Medium Grid 3 Accent 6;\lsdpriority70 Dark List Accent 6;\lsdpriority71 Colorful Shading Accent 6;\lsdpriority72 Colorful List Accent 6;\lsdpriority73 Colorful Grid Accent 6 +;\lsdqformat1\lsdpriority19 Subtle Emphasis;\lsdqformat1\lsdpriority21 Intense Emphasis;\lsdqformat1\lsdpriority31 Subtle Reference;\lsdqformat1\lsdpriority32 Intense Reference;\lsdqformat1\lsdpriority33 Book Title;\lsdsemihidden1\lsdunhideused1\lsdpriority37 Bibliography +;\lsdsemihidden1\lsdunhideused1\lsdqformat1\lsdpriority39 TOC Heading;}}} \ No newline at end of file From 57b6c82d1fb46343538867019697a7b21a6ae4e0 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:01:16 -0500 Subject: [PATCH 45/94] Test of link the translated article --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 9b6be574a6..981385b85f 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -2,7 +2,7 @@ - Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](src/AdquiridoAmazon.rtf) > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > > Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. From 903e76dbc582f5589337cb014e2e61833f3c450e Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:06:19 -0500 Subject: [PATCH 46/94] Create AdquiridoAmazon.md --- translations/es/src/AdquiridoAmazon.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) create mode 100644 translations/es/src/AdquiridoAmazon.md diff --git a/translations/es/src/AdquiridoAmazon.md b/translations/es/src/AdquiridoAmazon.md new file mode 100644 index 0000000000..489ccf6a03 --- /dev/null +++ b/translations/es/src/AdquiridoAmazon.md @@ -0,0 +1,16 @@ +Fui adquirido por Amazon +06 Marzo 2017 + +Si ha estado siguiendo mis aventuras, sabrá he hecho startups por años, el año pasado no fue diferencia. Trate los últimos once meses como un inicio ( estudiando a tiempo completo para desarrollar mis habilidades para ser más comercial), con el objetivo de ser adquirido (en esta caso contratado) por una compañía grande. +Como debe saber, los últimos once meses fueron muy difíciles para mi. Como un desarrollador web autodidacta por quince años, mi plan de estudios de Ciencias de la Computación me tomó meses y más meses para practicar para la entrevista en la pizarra. El factor motivante fue iniciar una nueva carrera como un Ingeniero de Software. +Bueno, sali de mi zona de confort e hice muchos amigos y me conecte con cada gigante tecnológico en el Noroeste Pacífico. De todos ellos, Amazon se destacó como la empresa más innovadora de los últimos 10 años. Me presenté a través de una referencia, a quien había conocido en un evento a inicios del 2013, e hice el proceso de enlistamiento. + +Después de tantos meses de esfuerzo, sacrificio y preocupación sin parar, me complace anunciar que finalmente !lo logré! + +Hoy acepte una oferta como un Ingeniero de Desarrollo de Software en Amazon.com. +Trabajar en Amazon es un sueño vuelto realidad y trabajaré en el equipo de Amazon Web Services Config. He tratado de trabajar en AWS por varios años. He usado AWS desde el 2012 cuando me inicie en el uso del CloudFormation para automatizar la construcción y ampliación de la infraestructura. + + + + +AWS Config es un servicio totalmente administrado que proporciona a los equipos operativos el inventario de recursos de AWS, el historial de configuración y las notificaciones de cambios de configuración para habilitar la seguridad y la gobernanza. Las reglas de configuración permiten a los administradores crear reglas que comprueban automáticamente la configuración de los recursos de AWS registrados por AWS Config, así como definir las acciones que AWS puede tomar para solucionar problemas automáticamente. From 1bdfe3d4445778863b2b3b627b2d06d0c3356eef Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:15:37 -0500 Subject: [PATCH 47/94] Formatting to be similar to the original source. --- translations/es/src/AdquiridoAmazon.md | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/translations/es/src/AdquiridoAmazon.md b/translations/es/src/AdquiridoAmazon.md index 489ccf6a03..db0eb1d8d4 100644 --- a/translations/es/src/AdquiridoAmazon.md +++ b/translations/es/src/AdquiridoAmazon.md @@ -1,16 +1,22 @@ -Fui adquirido por Amazon -06 Marzo 2017 +## [Fuente (Texto en Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) + +# Fui adquirido por Amazon +### 06 Marzo 2017 + Si ha estado siguiendo mis aventuras, sabrá he hecho startups por años, el año pasado no fue diferencia. Trate los últimos once meses como un inicio ( estudiando a tiempo completo para desarrollar mis habilidades para ser más comercial), con el objetivo de ser adquirido (en esta caso contratado) por una compañía grande. + + Como debe saber, los últimos once meses fueron muy difíciles para mi. Como un desarrollador web autodidacta por quince años, mi plan de estudios de Ciencias de la Computación me tomó meses y más meses para practicar para la entrevista en la pizarra. El factor motivante fue iniciar una nueva carrera como un Ingeniero de Software. + + Bueno, sali de mi zona de confort e hice muchos amigos y me conecte con cada gigante tecnológico en el Noroeste Pacífico. De todos ellos, Amazon se destacó como la empresa más innovadora de los últimos 10 años. Me presenté a través de una referencia, a quien había conocido en un evento a inicios del 2013, e hice el proceso de enlistamiento. Después de tantos meses de esfuerzo, sacrificio y preocupación sin parar, me complace anunciar que finalmente !lo logré! -Hoy acepte una oferta como un Ingeniero de Desarrollo de Software en Amazon.com. -Trabajar en Amazon es un sueño vuelto realidad y trabajaré en el equipo de Amazon Web Services Config. He tratado de trabajar en AWS por varios años. He usado AWS desde el 2012 cuando me inicie en el uso del CloudFormation para automatizar la construcción y ampliación de la infraestructura. - - +**Hoy acepte una oferta como un Ingeniero de Desarrollo de Software en Amazon.com.** +Trabajar en Amazon es un sueño vuelto realidad y trabajaré en el equipo de [Amazon Web Services Config](https://aws.amazon.com/config/). He tratado de trabajar en AWS por varios años. He usado AWS desde el 2012 cuando me inicie en el uso del CloudFormation para automatizar la construcción y ampliación de la infraestructura. + ![Amazon Web Services](https://d2mw6vgfxwlz2a.cloudfront.net/2017/03Amazon_Web_Services_Logo-1488839386502.png) -AWS Config es un servicio totalmente administrado que proporciona a los equipos operativos el inventario de recursos de AWS, el historial de configuración y las notificaciones de cambios de configuración para habilitar la seguridad y la gobernanza. Las reglas de configuración permiten a los administradores crear reglas que comprueban automáticamente la configuración de los recursos de AWS registrados por AWS Config, así como definir las acciones que AWS puede tomar para solucionar problemas automáticamente. +[AWS Config](https://aws.amazon.com/config/) es un servicio totalmente administrado que proporciona a los equipos operativos el inventario de recursos de AWS, el historial de configuración y las notificaciones de cambios de configuración para habilitar la seguridad y la gobernanza. Las reglas de configuración permiten a los administradores crear reglas que comprueban automáticamente la configuración de los recursos de AWS registrados por AWS Config, así como definir las acciones que AWS puede tomar para solucionar problemas automáticamente. 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m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 comercial}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ), }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 con}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 objetivo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ser}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 adquirido}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 (}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 esta}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 caso}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 contratado}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ) }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 compa\'f1\'eda}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 grande}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0 -\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 debe}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 saber}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 once}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fueron}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 muy}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 dif\'edciles}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 desarrollador}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 web}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autodidacta}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 quince}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1os}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 plan}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 estudios}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ciencias}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 Computaci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tom\'f3}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 practicar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 entrevista}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 pizarra}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 El}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 factor}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 motivante}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fue}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 iniciar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 nueva}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 carrera}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ingeniero}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 Software}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0 -\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 Bueno}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sali}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 zona}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 confort}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 e}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hice}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 muchos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 amigos}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 conecte}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 con}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 cada}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 gigante}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tecnol\'f3gico}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Noroeste}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Pac\'edfico}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 De}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 todos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ellos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 se}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 destac\'f3}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 empresa}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 innovadora}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 10 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1os}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 Me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 present\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 trav\'e9s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 referencia}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 quien}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hab\'eda}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 conocido}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 evento}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 inicios}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 del}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 2013, }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 e}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hice}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 proceso}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 enlistamiento}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb -\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Despu\'e9s} -{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tantos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 esfuerzo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sacrificio}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 preocupaci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sin}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 parar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 complace}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 anunciar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 finalmente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 !}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 lo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 logr\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 !}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0 -\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Hoy}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 acepte}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 oferta}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ingeniero}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Desarrollo}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Software}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 com}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par} -\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Trabajar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{ 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"https://aws.amazon.com/config/"}}{\fldrslt{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ul\cf2 }}}{\field{\*\fldinst{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1 HYPERLINK "https://aws.amazon.com/config/"}}{\fldrslt{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ul\cf2 Config}}}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 He}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tratado}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 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habilitar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 seguridad}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 gobernanza}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Las}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 reglas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 configuraci\'f3n} -{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 permiten}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 administradores}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 crear}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 reglas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 comprueban}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autom\'e1ticamente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 configuraci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 recursos}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 registrados}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Config}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 as\'ed}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 definir}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 las}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 acciones}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 puede}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tomar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 solucionar}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 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3;\lsdpriority63 Medium Shading 1 Accent 3;\lsdpriority64 Medium Shading 2 Accent 3;\lsdpriority65 Medium List 1 Accent 3;\lsdpriority66 Medium List 2 Accent 3 -;\lsdpriority67 Medium Grid 1 Accent 3;\lsdpriority68 Medium Grid 2 Accent 3;\lsdpriority69 Medium Grid 3 Accent 3;\lsdpriority70 Dark List Accent 3;\lsdpriority71 Colorful Shading Accent 3;\lsdpriority72 Colorful List Accent 3;\lsdpriority73 Colorful Grid Accent 3 -;\lsdpriority60 Light Shading Accent 4;\lsdpriority61 Light List Accent 4;\lsdpriority62 Light Grid Accent 4;\lsdpriority63 Medium Shading 1 Accent 4;\lsdpriority64 Medium Shading 2 Accent 4;\lsdpriority65 Medium List 1 Accent 4;\lsdpriority66 Medium List 2 Accent 4 -;\lsdpriority67 Medium Grid 1 Accent 4;\lsdpriority68 Medium Grid 2 Accent 4;\lsdpriority69 Medium Grid 3 Accent 4;\lsdpriority70 Dark List Accent 4;\lsdpriority71 Colorful Shading Accent 4;\lsdpriority72 Colorful List Accent 4;\lsdpriority73 Colorful Grid Accent 4 -;\lsdpriority60 Light Shading Accent 5;\lsdpriority61 Light List Accent 5;\lsdpriority62 Light Grid Accent 5;\lsdpriority63 Medium Shading 1 Accent 5;\lsdpriority64 Medium Shading 2 Accent 5;\lsdpriority65 Medium List 1 Accent 5;\lsdpriority66 Medium List 2 Accent 5 -;\lsdpriority67 Medium Grid 1 Accent 5;\lsdpriority68 Medium Grid 2 Accent 5;\lsdpriority69 Medium Grid 3 Accent 5;\lsdpriority70 Dark List Accent 5;\lsdpriority71 Colorful Shading Accent 5;\lsdpriority72 Colorful List Accent 5;\lsdpriority73 Colorful Grid Accent 5 -;\lsdpriority60 Light Shading Accent 6;\lsdpriority61 Light List Accent 6;\lsdpriority62 Light Grid Accent 6;\lsdpriority63 Medium Shading 1 Accent 6;\lsdpriority64 Medium Shading 2 Accent 6;\lsdpriority65 Medium List 1 Accent 6;\lsdpriority66 Medium List 2 Accent 6 -;\lsdpriority67 Medium Grid 1 Accent 6;\lsdpriority68 Medium Grid 2 Accent 6;\lsdpriority69 Medium Grid 3 Accent 6;\lsdpriority70 Dark List Accent 6;\lsdpriority71 Colorful Shading Accent 6;\lsdpriority72 Colorful List Accent 6;\lsdpriority73 Colorful Grid Accent 6 -;\lsdqformat1\lsdpriority19 Subtle Emphasis;\lsdqformat1\lsdpriority21 Intense Emphasis;\lsdqformat1\lsdpriority31 Subtle Reference;\lsdqformat1\lsdpriority32 Intense Reference;\lsdqformat1\lsdpriority33 Book Title;\lsdsemihidden1\lsdunhideused1\lsdpriority37 Bibliography -;\lsdsemihidden1\lsdunhideused1\lsdqformat1\lsdpriority39 TOC Heading;}}} \ No newline at end of file From 433bf8e171f77ac8d9f77a4e84cdc65b8b182cb2 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:49:43 -0500 Subject: [PATCH 49/94] Linked correct AdquiridoAmazon --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 981385b85f..9a061546b0 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -2,7 +2,7 @@ - Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](src/AdquiridoAmazon.rtf) +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](src/AdquiridoAmazon.md) > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > > Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. From 26c0ac7959f5a4c66e5af8564e7aebedc833b9bb Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:51:14 -0500 Subject: [PATCH 50/94] Corrected name article --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 9a061546b0..874c51b55c 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -2,7 +2,7 @@ - Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](src/AdquiridoAmazon.md) +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon!](src/AdquiridoAmazon.md) > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > > Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. From 119f9a4a553120c7d53f5ab9f1b098aece87896b Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 17:04:52 -0500 Subject: [PATCH 51/94] Add a space in description --- translations/es/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/translations/es/README.md b/translations/es/README.md index 874c51b55c..37a923be2b 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -3,6 +3,8 @@ - Versión original: [Inglés](README.md) > Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon!](src/AdquiridoAmazon.md) + + > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > > Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. From 8c110c3683255b7c81393f05ed864a8a843e5012 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 17:27:56 -0500 Subject: [PATCH 52/94] Graphs --- translations/es/.~lock.README.md# | 1 + translations/es/README.md | 26 +++++++++++++------------- 2 files changed, 14 insertions(+), 13 deletions(-) create mode 100644 translations/es/.~lock.README.md# diff --git a/translations/es/.~lock.README.md# b/translations/es/.~lock.README.md# new file mode 100644 index 0000000000..dc997706be --- /dev/null +++ b/translations/es/.~lock.README.md# @@ -0,0 +1 @@ +,enrique.saucedo,localhost.dev,24.05.2017 17:27,file:///home/enrique.saucedo/.config/libreoffice/4; \ No newline at end of file diff --git a/translations/es/README.md b/translations/es/README.md index 37a923be2b..f90f1c2a4c 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -85,7 +85,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - heapsort - quicksort - merge sort -- [Graphs](#graphs) +- [Grafos](#grafos) - directed - undirected - adjacency matrix @@ -820,19 +820,19 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) -## Graphs +## Grafos -Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. +Los grafos pueden ser usados para representar muchos problemas en las Ciencias de la Computación, así que es una sección larga, como lo son los trees y sorting. -- Notes: - - There are 4 basic ways to represent a graph in memory: - - objects and pointers - - adjacency matrix - - adjacency list - - adjacency map - - Familiarize yourself with each representation and its pros & cons - - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - - When asked a question, look for a graph-based solution first, then move on if none. +- Notas: + - Hay cuatro formas básicas de representar un grafo en memoria: + - Objetos y apuntadores + - Matriz adyacente + - Lista adyacente + - Mapa adyacente + - Familiarícese con cada representación y sus pros y contras + - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y como implementarlos en código real + - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continue. - [ ] Skiena Lectures - great intro: - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) @@ -876,7 +876,7 @@ Graphs can be used to represent many problems in computer science, so this secti - [ ] list strongly connected components - [ ] check for bipartite graph -You'll get more graph practice in Skiena's book (see Books section below) and the interview books +Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional - ### Recursión From f2a31a675c089168c8fe94e472cf923f1ccf86ef Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 02:16:44 -0500 Subject: [PATCH 53/94] Delete .~lock.README.md# --- translations/es/.~lock.README.md# | 1 - 1 file changed, 1 deletion(-) delete mode 100644 translations/es/.~lock.README.md# diff --git a/translations/es/.~lock.README.md# b/translations/es/.~lock.README.md# deleted file mode 100644 index dc997706be..0000000000 --- a/translations/es/.~lock.README.md# +++ /dev/null @@ -1 +0,0 @@ -,enrique.saucedo,localhost.dev,24.05.2017 17:27,file:///home/enrique.saucedo/.config/libreoffice/4; \ No newline at end of file From baa34423f8c0f2b3cf168f5abf2387fd8b093fa8 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 03:16:19 -0500 Subject: [PATCH 54/94] Translated missed titles Using wikipedia to have a best translation all the elements were checked with their analogue in English. --- .gitignore | 1 + translations/es/README.md | 68 +++++++++++++++++++-------------------- 2 files changed, 35 insertions(+), 34 deletions(-) diff --git a/.gitignore b/.gitignore index cff2525ded..e8fbd5fe43 100644 --- a/.gitignore +++ b/.gitignore @@ -2,3 +2,4 @@ personal-9894.md ~$ADME-es.txt translations/~$ADME-es.md +translations/es/~$README.md diff --git a/translations/es/README.md b/translations/es/README.md index f90f1c2a4c..4cca6c36a6 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -67,48 +67,48 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Estructuras de datos](#estructuras-de-datos) - [Arreglos](#arreglos) - [Listas Enlazadas](#listas-enlazadas) - - [Stack](#stack) - - [Queue](#queue) - - [Hash table](#hash-table) + - [Pila](#pila) + - [Cola o fila](#cola-o-fila) + - [Matriz asociativa](#matriz-asociativa) - [Información adicional](#información-adicional) - [Búsqueda binaria](#búsqueda-binaria) - [Operaciones bit a bit](#operaciones-bit-bit) -- [Trees](#trees) - - [Trees - Notes & Background](#trees---notes--background) - - [Binary search trees: BSTs](#binary-search-trees-bsts) - - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) - - balanced search trees (general concept, not details) - - traversals: preorder, inorder, postorder, BFS, DFS -- [Sorting](#sorting) - - selection - - insertion - - heapsort - - quicksort - - merge sort +- [Árboles](#árboles) + - [Árboles - Notas & Antecedentes](#árboles---notas--antecedentes) + - [Árboles de búsqueda binaria: BSTs](#árboles-de-búsqueda-binaria-bsts) + - [Montículo / Colas de Prioridad / Montículo binario](#montículo--colas-de-prioridad--montículo-binario) + - Árboles de búsqueda balanceables (Concepto General, sin detallar) + - Recorridos: preorder, inorder, postorder, BFS, DFS +- [Ordenamientos](#ordenamientos) + - Selección + - Inserción + - Por montículos (heapsort) + - Rápido (quicksort) + - Por mezcla (merge sort) - [Grafos](#grafos) - - directed - - undirected - - adjacency matrix - - adjacency list - - traversals: BFS, DFS + - Dirigidos + - No dirigidos + - Matriz de adyacencia + - Lista de adyacencia + - Recorridos: BFS, DFS - [Más información adicional](#más-información-adicional) - [Recursión](#recursión) - [Programación Dinámica](#programación-dinámica) - [Programación Orientada a Objetos](#programación-orientada-a-objetos) - [Patrones de diseño](#patrones-de-diseño) - - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - - [Caches](#caches) - - [Processes and Threads](#processes-and-threads) - - [Papers](#papers) - - [Testing](#testing) - - [Scheduling](#scheduling) - - [Implement system routines](#implement-system-routines) - - [String searching & manipulations](#string-searching--manipulations) + - [Combinatorias (n elije k) & Probabilidad](combinatorias-n-elije-k--probabilidad) + - [NP, NP-Completo y Algoritmos de aproximación](#np-np-completo-y-algoritmos-de-aproximación) + - [Memoria cache](#memoria-cache) + - [Procesos e hilos](#procesos-e-hilos) + - [Documentos](#documentos) + - [Pruebas](#pruebas) + - [Planificador](#planificador) + - [Implementar rutinas del sistema](#implementar-rutinas-del-sistema) + - [Búsqueda de cadenas y manipulaciones](#búsqueda-de-cadenas-y-manipulaciones) - [Tries](#tries) - - [Floating Point Numbers](#floating-point-numbers) + - [Números de punto flotante](#números-de-punto-flotante) - [Unicode](#unicode) - - [Endianness](#endianness) + - [Extremidad (Endianness)](#extremidad-endianness) - [Redes](#redes) - [Diseño del Sistema, Escalabilidad, Manejo de Datos](#diseño-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificación) @@ -827,9 +827,9 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - Notas: - Hay cuatro formas básicas de representar un grafo en memoria: - Objetos y apuntadores - - Matriz adyacente - - Lista adyacente - - Mapa adyacente + - Matriz adyacente + - Lista adyacente + - Mapa adyacente - Familiarícese con cada representación y sus pros y contras - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y como implementarlos en código real - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continue. From 66847095bc0ffc698c092173ca71877dee87117d Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 03:53:05 -0500 Subject: [PATCH 55/94] Optional titles translated --- translations/es/README.md | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 4cca6c36a6..676f0e61a1 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -130,37 +130,37 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Código de paridad y Hamming](#código-de-paridad-y-hamming) - [Entropía](#entropía) - [Criptografía](#criptografía) - - [Compression](#compression) + - [Compresión](#compresión) - [Seguridad informática](#seguridad-informática) - [Garbage collection](#garbage-collection) - [Programación en paralelo](#programacion-en-paralelo) - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajería-serialización-y-cola) - [A*](#a) - [Transformada rápida de Fourier](#transformada-rápida-de-fourier) - - [Bloom Filter](#bloom-filter) + - [Filtro de Bloom](#filtro-de-bloom) - [HyperLogLog](#hyperloglog) - - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - - [van Emde Boas Trees](#van-emde-boas-trees) + - [Hashing sensible a la localidad](#hashing-sensible-a-la-localidad) + - [Árboles van Emde Boa](#árboles-van-emde-boas) - [Estructuras de datos aumentadas](#estructuras-de-datos-aumentadas) - - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) + - [Árboles N-avo (K-avo, M-avo)](#árboles-n-avo-k-avo-m-avo) - [Árboles de búsqueda equilibrada](#árboles-de-búsqueda-equilibrada) - - AVL trees - - Splay trees - - Red/black trees - - 2-3 search trees - - 2-3-4 Trees (aka 2-4 trees) - - N-ary (K-ary, M-ary) trees - - B-Trees - - [k-D Trees](#k-d-trees) - - [Skip lists](#skip-lists) + - Árboles AVL + - Árboles biselados + - Árboles rojos/negros + - Árboles de búsqueda 2-3 + - Árboles 2-3-4 (aka Árboles 2-4) + - Árboles N-avo (K-avo, M-avo) + - Árboles-B + - [Árboles k-D](#árboles-k-d) + - [Lista por saltos](#listas-por-saltos) - [Flujos de red](#flujos-de-red) - - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Matemáticas para procesamiento rápido](#mmatemáticas-para-procesamiento-rápido) + - [Conjuntos disjuntos & Encontrar unión](#conjuntos-disjuntos-encontrar-unión) + - [Matemáticas para procesamiento rápido](#matemáticas-para-procesamiento-rápido) - [Treap](#treap) - [Programación Lineal](#programación-lineal) - [Geometría, casco convexo](#geometría-casco-convexo) - [Matemáticas discretas](#matemáticas-discretas) - - [Machine Learning](#machine-learning) + - [Aprendizaje automático](#aprendizaje-automático) - [Detalles adicionales de ciertos temas](#detalles-adicionales-de–ciertos-temas) - [Series de videos](#series-de-videos) - [Cursos de Informática](#cursos-de-informática) @@ -171,7 +171,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, Cuando comencé este proyecto, no sabía la diferencia entre un stack y un heap, no conocía la notación Big-O, nada acerca de árboles, ni cómo sacar la transversal de una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no hubiera sido muy bueno. Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban realmente. Yo nunca tuve que manejar la memoria a menos que un proceso que yo estaba corriendo diera un error de “out of memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. -Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo. +Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de esto te resulta familiar entonces te tomará mucho menos tiempo. Es un plan largo, puede tome unos meses; pero si le resulta familiar mucho de esto le tomara mucho menos tiempo. From f36a9cef938119da640e9a8b52dcc020c69d09ff Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:11:13 -0500 Subject: [PATCH 56/94] Array --- translations/es/README.md | 74 +++++++++++++++++++-------------------- 1 file changed, 37 insertions(+), 37 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 676f0e61a1..96b9313eaa 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -470,7 +470,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] **Aprenda C** - C esta en todos lados. Verá ejemplos en libros, lecturas, videos, *en todo lugar* mientras esté estudiando. - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - Este es un libro corto, pero le dará una gran manejo en el lenguaje C y si lo practica un poco, rápidamente conseguirá ser experto. Comprender C le ayuda a entender cómo funcionan los programas y la memoria. + - Este es un libro corto, pero le dará un gran manejo en el lenguaje C y si lo practica un poco, rápidamente conseguirá ser experto. Comprender C le ayuda a entender cómo funcionan los programas y la memoria. - [answers to questions](https://github.com/lekkas/c-algorithms) - [ ] **Como las computadoras procesan un programa:** @@ -515,54 +515,54 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - [ ] Implemente un vector (Arreglo mutable con redimensionamiento automático): - [ ] Practique codificar usando arreglos y apuntadores, y un apuntador matemático para saltar a un índice en lugar de utilizar la indexación. - - [ ] new raw data array with allocated memory - - can allocate int array under the hood, just not use its features - - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 - - [ ] size() - number of items - - [ ] capacity() - number of items it can hold + - [ ] Nueva arreglo de información primaria con memoria asignada + - Puede asignar un arreglo entero, simplemente no use sus características + - Empiece con 16, o si el número inicial es mayor, use potencias del 2 - 16, 32, 64, 128 + - [ ] size() – Número de elementos + - [ ] capacity() – Número de elementos soportados - [ ] is_empty() - - [ ] at(index) - returns item at given index, blows up if index out of bounds + - [ ] at(index) – Regresa el elemento al índice dado, falla si el índice esta fuera de sus limites - [ ] push(item) - - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right - - [ ] prepend(item) - can use insert above at index 0 - - [ ] pop() - remove from end, return value - - [ ] delete(index) - delete item at index, shifting all trailing elements left - - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) - - [ ] find(item) - looks for value and returns first index with that value, -1 if not found - - [ ] resize(new_capacity) // private function - - when you reach capacity, resize to double the size - - when popping an item, if size is 1/4 of capacity, resize to half - - [ ] Time - - O(1) to add/remove at end (amortized for allocations for more space), index, or update - - O(n) to insert/remove elsewhere - - [ ] Space - - contiguous in memory, so proximity helps performance - - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) + - [ ] insert(index, item) – Inserta el elemento en el índice, intercambia el valor del índice y desplaza los elementos a la derecha + - [ ] prepend(item) – Puede usar para insertar encima del índice 0 + - [ ] pop() – Elimina del final, regresa el valor + - [ ] delete(index) – Elimina el elemento en el índice, intercambia todos desplazándolos a la izquierda + - [ ] remove(item) – Busca el valor y elimina el índice lo contiene(aunque este en varios lugares) + - [ ] find(item) – Busca el valor y regresa el primer índice con ese valor, -1 si no encuentra + - [ ] resize(Nueva capacidad) // Función privada + - Cuando alcance el límite, redimensiona al doble el tamaño + - Cuando se haga “pop” a un elemento, si el tamaño es 1/4 de la capacidad, redimensiona a la mitad + - [ ] Tiempo + - O(1) Para añadir/eliminar al final (Amortizado para asignaciones por más espacio), índice o actualización + - O(n) Para insertar/eliminar donde sea + - [ ] Espacio + - Contiguo en la memoria, por lo que la proximidad ayuda al rendimiento + - Espacio necesario = (capacidad de matriz, que es> = n) * tamaño del elemento, pero incluso si 2n, todavía O (n)) - ### Listas Enlazadas - [ ] Descripción: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole video, just portions about Node struct and memory allocation. - - [ ] Linked List vs Arrays: + - No todo el video, solo porciones acerca de la estructura de nodos y la asignación de memoria. + - [ ] Listas enlazadas vs Arreglos: - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - - [ ] Gotcha: you need pointer to pointer knowledge: - (for when you pass a pointer to a function that may change the address where that pointer points) - This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. + - [ ] Gotcha: Necesita tener conocimiento del apuntador a apuntador: + (Cuando se pasa un apuntador a una función este puede cambiar la dirección a la que el apuntador apunta) + Esta página es sólo para tener una idea sobre un apuntador a un apuntador. No recomiendo esta lista de estilo transversal. La legibilidad y sostenibilidad sufren debido a la astucia. - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - - [ ] implement (I did with tail pointer & without): - - [ ] size() - returns number of data elements in list - - [ ] empty() - bool returns true if empty - - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) - - [ ] push_front(value) - adds an item to the front of the list - - [ ] pop_front() - remove front item and return its value - - [ ] push_back(value) - adds an item at the end - - [ ] pop_back() - removes end item and returns its value - - [ ] front() - get value of front item - - [ ] back() - get value of end item + - [ ] Implemente (Lo hice con y sin un puntero de cola): + - [ ] size() – Regresa el número de elementos en la lista + - [ ] empty() – Un bool que regresa verdadero si esta vacío + - [ ] value_at(index) – Regresa el valor del el n-avo elemento (iniciando con el 0 como primero) + - [ ] push_front(value) – Añade un elemento al frente de la lista + - [ ] pop_front() – Elimina el elemento frontal y regresa su valor + - [ ] push_back(value) – Añade un elemento al final + - [ ] pop_back() – Elimina el último elemento y devuelve su valor + - [ ] front() – Obtiene el valor del elemento frontal + - [ ] back() – Obtiene el valor del último elemento - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - [ ] erase(index) - removes node at given index - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list From bd20b95d61a7f088985b165e14c9b779d8350286 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:24:03 -0500 Subject: [PATCH 57/94] Linked list --- translations/es/README.md | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 96b9313eaa..51aa18160e 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -555,7 +555,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - [ ] Implemente (Lo hice con y sin un puntero de cola): - [ ] size() – Regresa el número de elementos en la lista - - [ ] empty() – Un bool que regresa verdadero si esta vacío + - [ ] empty() – Un bool que regresa verdadero si está vacío - [ ] value_at(index) – Regresa el valor del el n-avo elemento (iniciando con el 0 como primero) - [ ] push_front(value) – Añade un elemento al frente de la lista - [ ] pop_front() – Elimina el elemento frontal y regresa su valor @@ -563,15 +563,14 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] pop_back() – Elimina el último elemento y devuelve su valor - [ ] front() – Obtiene el valor del elemento frontal - [ ] back() – Obtiene el valor del último elemento - - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - - [ ] erase(index) - removes node at given index - - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - - [ ] reverse() - reverses the list - - [ ] remove_value(value) - removes the first item in the list with this value + - [ ] insert(index, value) – Inserta valor en el índice, por lo que el valor actual en ese índice es apuntado al nuevo elemento en el índice + - [ ] erase(index) – Borra el nodo del índice dado + - [ ] value_n_from_end(n) – Regresa el valor del nodo en la n-ava posición a partir del final de la lista + - [ ] reverse() – Pone al revés toda la lista + - [ ] remove_value(value) – Borra el primer elemento en la lista con ese valor - [ ] Doble lista enlazada - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No need to implement - + - No es necesario - ### Stack - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) From f2c36308f61c52c4961b039d78e46c1aa7a6d832 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:25:32 -0500 Subject: [PATCH 58/94] Stack --- translations/es/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 51aa18160e..a3d296308b 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -571,10 +571,10 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] Doble lista enlazada - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - No es necesario -- ### Stack +- ### Pila - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - - [ ] Will not implement. Implementing with array is trivial. + - [ ] No implementaré. Implementando con arreglos es trivial. - ### Queue - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) From ae6785fcc10c6e55268e87931cf9da906f68bdf1 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:33:47 -0500 Subject: [PATCH 59/94] Queue --- translations/es/README.md | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index a3d296308b..826ed5b304 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -576,26 +576,26 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - [ ] No implementaré. Implementando con arreglos es trivial. -- ### Queue +- ### Cola o fila - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - - [ ] Implement using linked-list, with tail pointer: - - enqueue(value) - adds value at position at tail - - dequeue() - returns value and removes least recently added element (front) + - [ ] Implementar usando listas enlazadas, con el puntero de la cola: + - enqueue(value) – Añade el valor en la posición de la cola + - dequeue() – Regresa el valor y elimina el valor más recientemente añadido(frontal) - empty() - - [ ] Implement using fixed-sized array: - - enqueue(value) - adds item at end of available storage - - dequeue() - returns value and removes least recently added element + - [ ] Implementar usando arreglos de tamaño fijo: + - enqueue(value) – Añade elemento al final del almacenamiento disponible + - dequeue() – Regresa el valor y elimina el elemento más recientemente añadido - empty() - full() - - [ ] Cost: - - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) - because you'd need the next to last element, causing a full traversal each dequeue - - enqueue: O(1) (amortized, linked list and array [probing]) - - dequeue: O(1) (linked list and array) - - empty: O(1) (linked list and array) + - [ ] Costo: + - Una mala implementación usando lista enlazada donde se enqueue en la cabeza y dequeue en la cola sería O (n) + Porque usted necesitaría el siguiente al último elemento, causando un recorrido completo cada dequeue + - enqueue: O(1) (amortizado, Lista enlazada y arreglo [probando]) + - dequeue: O(1) (Lista enlazada y arreglo) + - empty: O(1) (Lista enlazada y arreglo) - ### Hash table - [ ] Videos: @@ -606,7 +606,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - - [ ] Online Courses: + - [ ] Cursos en línea: - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) From dc618f0345f1db701e2f88f1fbe3d19128a51ffe Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:34:44 -0500 Subject: [PATCH 60/94] Hash table --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 826ed5b304..618c92b385 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -597,7 +597,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - dequeue: O(1) (Lista enlazada y arreglo) - empty: O(1) (Lista enlazada y arreglo) -- ### Hash table +- ### Matriz asociativa - [ ] Videos: - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) From 9a669440daabcc3a85f60603c662297638eef344 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:37:59 -0500 Subject: [PATCH 61/94] Hash Table corrections --- translations/es/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 618c92b385..ae3d0f58ce 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -593,7 +593,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] Costo: - Una mala implementación usando lista enlazada donde se enqueue en la cabeza y dequeue en la cola sería O (n) Porque usted necesitaría el siguiente al último elemento, causando un recorrido completo cada dequeue - - enqueue: O(1) (amortizado, Lista enlazada y arreglo [probando]) + - enqueue: O(1) (amortizado, Lista enlazada y arreglo [sondaje]) - dequeue: O(1) (Lista enlazada y arreglo) - empty: O(1) (Lista enlazada y arreglo) @@ -618,9 +618,9 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - [ ] implement with array using linear probing - - hash(k, m) - m is size of hash table - - add(key, value) - if key already exists, update value + - [ ] Implementar con arreglo usando sondaje lineal + - hash(k, m) - m es el tamaño de la matriz asociativa + - add(key, value) – Si la llave ya existe , actualiza el valor - exists(key) - get(key) - remove(key) From 3e81584ff5f9671061a94a96bda966eec43faad5 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:48:40 -0500 Subject: [PATCH 62/94] Trees --- translations/es/README.md | 43 +++++++++++++++++++-------------------- 1 file changed, 21 insertions(+), 22 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index ae3d0f58ce..73a4f9682a 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -630,15 +630,15 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implement: - - binary search (on sorted array of integers) - - binary search using recursion + - [ ] Implementar: + - Búsqueda binaria (en un arreglo ordenado de enteros) + - Búsqueda binaria usando recursión - ### Operaciones bit a bit - - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << + - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - Debería conocer varias de las potencias de 2 a partir de (2^1 to 2^16 and 2^32) + - [ ] Obtenga un buen entendimiento de la manipulación de bits con: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Good intro: + - [ ] Buena introducción: [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) @@ -661,26 +661,25 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] absolute value: - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) -## Trees - -- ### Trees - Notes & Background +## Árboles +- ### Árboles - Notas & Antecedentes - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - basic tree construction - - traversal - - manipulation algorithms - - BFS (breadth-first search) + - Construcción básica de árboles + - Recorrido + - Algoritmos de manipulación + - BFS (búsqueda en amplitud) - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - level order (BFS, using queue) - time complexity: O(n) - space complexity: best: O(1), worst: O(n/2)=O(n) - - DFS (depth-first search) + - Orden de nivel(BFS, usando colas) + Tiempo de complejidad: O(n) + Espacio de complejidad: Mejor: O(1), Peor: O(n/2)=O(n) + - DFS (búsqueda en profundidad) - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - - notes: - time complexity: O(n) - space complexity: - best: O(log n) - avg. height of tree - worst: O(n) + - Notas: + Tiempo de complejidad: O(n) + Espacio de complejidad: + Mejor: O(log n) – Promedio de la altura del árbol + Peor: O(n) - inorder (DFS: left, self, right) - postorder (DFS: left, right, self) - preorder (DFS: self, left, right) From 3c6830fde81ab8a1583d152b5d78ed94db3d9b9f Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 14:07:52 -0500 Subject: [PATCH 63/94] Titles --- translations/es/README.md | 31 +++++++++++++++---------------- 1 file changed, 15 insertions(+), 16 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 73a4f9682a..de95c7e4d5 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -670,7 +670,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - Algoritmos de manipulación - BFS (búsqueda en amplitud) - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - Orden de nivel(BFS, usando colas) + - Orden de nivel (BFS, usando colas) Tiempo de complejidad: O(n) Espacio de complejidad: Mejor: O(1), Peor: O(n/2)=O(n) - DFS (búsqueda en profundidad) @@ -684,7 +684,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - postorder (DFS: left, right, self) - preorder (DFS: self, left, right) -- ### Binary search trees: BSTs +- ### Árboles de búsqueda binaria: BSTs - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - starts with symbol table and goes through BST applications @@ -714,7 +714,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] delete_value - [ ] get_successor // returns next-highest value in tree after given value, -1 if none -- ### Heap / Priority Queue / Binary Heap +- ### Montículo / Colas de Prioridad / Montículo binario - visualized as a tree, but is usually linear in storage (array, linked list) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) @@ -743,8 +743,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). -## Sorting - +## Ordenamientos - [ ] Notes: - Implement sorts & know best case/worst case, average complexity of each: - no bubble sort - it's terrible - O(n^2), except when n <= 16 @@ -964,7 +963,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) -- ### Combinatorics (n choose k) & Probability +- ### Combinatorias (n elije k) & Probabilidad - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) @@ -974,7 +973,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - Just the videos - 41 (each are simple and each are short): - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) -- ### NP, NP-Complete and Approximation Algorithms +- ### NP, NP-Completo y Algoritmos de aproximación - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, and be able to recognize them when an interviewer asks you them in disguise. - Know what NP-complete means. @@ -995,7 +994,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - Pages 1048 - 1140 in CLRS if you have it. -- ### Caches +- ### Memoria cache - [ ] LRU cache: - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) @@ -1004,7 +1003,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) -- ### Processes and Threads +- ### Procesos e hilos - [ ] Computer Science 162 - Operating Systems (25 videos): - for processes and threads see videos 1-11 - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) @@ -1041,7 +1040,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) -- ### Papers +- ### Documentos - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) @@ -1073,7 +1072,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) -- ### Testing +- ### Pruebas - To cover: - how unit testing works - what are mock objects @@ -1092,15 +1091,15 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) -- ### Scheduling +- ### Planificador - in an OS, how it works - can be gleaned from Operating System videos -- ### Implement system routines +- ### Implementar rutinas del sistema - understand what lies beneath the programming APIs you use - can you implement them? -- ### String searching & manipulations +- ### Búsqueda de cadenas y manipulaciones - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) @@ -1130,7 +1129,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) -- ### Floating Point Numbers +- ### Números de punto flotante - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) @@ -1138,7 +1137,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) -- ### Endianness +- ### Extremidad (Endianness) - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) From c44f2c1ec1a305f04dd34d965e5e72ca3e4589db Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 17:21:43 -0500 Subject: [PATCH 64/94] BST --- translations/es/README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index de95c7e4d5..b4234a4bb7 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -687,7 +687,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - ### Árboles de búsqueda binaria: BSTs - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - - starts with symbol table and goes through BST applications + - Comienza con la tabla de símbolos y pasa por las aplicaciones BST - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) - C/C++: @@ -701,18 +701,18 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] Implement: - - [ ] insert // insert value into tree - - [ ] get_node_count // get count of values stored - - [ ] print_values // prints the values in the tree, from min to max + - [ ] Implementar: + - [ ] insert // Inserta valores en el árbol + - [ ] get_node_count // Obtener la cuenta de los valores almacenados + - [ ] print_values // Imprime los valores en el árbol, del min al max - [ ] delete_tree - - [ ] is_in_tree // returns true if given value exists in the tree - - [ ] get_height // returns the height in nodes (single node's height is 1) - - [ ] get_min // returns the minimum value stored in the tree - - [ ] get_max // returns the maximum value stored in the tree + - [ ] is_in_tree // Devuelve verdadero si el valor dado existe en el árbol + - [ ] get_height // Regresa la altura en los nodos (La altura de cada nodo es 1) + - [ ] get_min // Regresa el valor mínimo almacenado en el árbol + - [ ] get_max // Regresa el valor máximo almacenado en el árbol - [ ] is_binary_search_tree - [ ] delete_value - - [ ] get_successor // returns next-highest value in tree after given value, -1 if none + - [ ] get_successor // Regresa el siguiente valor más alto en el árbol después del valor dado,-1 si ninguno - ### Montículo / Colas de Prioridad / Montículo binario - visualized as a tree, but is usually linear in storage (array, linked list) From 43dcc4a8af81d94fcc2febf89323d7838e6dc668 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 17:44:54 -0500 Subject: [PATCH 65/94] Priority heaps --- translations/es/README.md | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index b4234a4bb7..0ee18d3824 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -715,7 +715,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] get_successor // Regresa el siguiente valor más alto en el árbol después del valor dado,-1 si ninguno - ### Montículo / Colas de Prioridad / Montículo binario - - visualized as a tree, but is usually linear in storage (array, linked list) + - Visto como un árbol, pero usualmente es lineal en el almacenamiento (arreglo, lista enlazada) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) @@ -730,18 +730,18 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - - [ ] Implement a max-heap: + - [ ] Implementar una cola máxima: - [ ] insert - - [ ] sift_up - needed for insert - - [ ] get_max - returns the max item, without removing it - - [ ] get_size() - return number of elements stored - - [ ] is_empty() - returns true if heap contains no elements - - [ ] extract_max - returns the max item, removing it - - [ ] sift_down - needed for extract_max - - [ ] remove(i) - removes item at index x - - [ ] heapify - create a heap from an array of elements, needed for heap_sort - - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). + - [ ] sift_up – Necesario para el insert + - [ ] get_max – Regresa el máximo elemento, sin eliminarlo + - [ ] get_size() – Regresa el número de elementos almacenados + - [ ] is_empty() – Devuelve verdadero si la cola está vacía + - [ ] extract_max – Regresa el máximo elemento, eliminándolo + - [ ] sift_down – Necesario para extract_max + - [ ] remove(i) – Elimina el elemento en el índice x + - [ ] heapify – Crea una cola de un arreglo de elementos, necesario para heap_sort + - [ ] heap_sort() – Toma un arreglo no ordenado y lo convierte en un arreglo ordenando en su lugar usando una cola máxima + - Nota: Usar una cola mínima reduciría operaciones, pero duplicaría el espacio necesario (No se puede hacer en lugar). ## Ordenamientos - [ ] Notes: From 33a8045e0fd118d450c035a9080ed57547668631 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:12:24 -0500 Subject: [PATCH 66/94] Sorting --- translations/es/README.md | 40 +++++++++++++++++++-------------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 0ee18d3824..09325756c2 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -744,19 +744,19 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - Nota: Usar una cola mínima reduciría operaciones, pero duplicaría el espacio necesario (No se puede hacer en lugar). ## Ordenamientos -- [ ] Notes: - - Implement sorts & know best case/worst case, average complexity of each: - - no bubble sort - it's terrible - O(n^2), except when n <= 16 - - [ ] stability in sorting algorithms ("Is Quicksort stable?") +- [ ] Notas: + - Implementar ordenamientos y conocer el mejor/peor de los casos y el promedio de complejidad de cada uno: + - No ordenamiento de burbuja - Es terrible - O(n^2), excepto cuando n <= 16 + - [ ] Estabilidad en algoritmos de ordenamiento("¿Es Quicksort estable?") - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) - - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? - - I wouldn't recommend sorting a linked list, but merge sort is doable. + - [ ] ¿Cuáles algoritmos pueden ser usados en listas enlazadas? ¿Cuáles en arreglos? ¿Cuál en ambos? + - No recomendaría ordenar una lista enlazada, pero el ordenamiento por mezcla es realizable. - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) -- For heapsort, see Heap data structure above. Heap sort is great, but not stable. +- Para ordenamientos por montículos, vea la estructura de datos de Colas o filas arriba. El ordenamiento por monticulos es estupendo, pero inestable. - [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) @@ -794,13 +794,13 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) -- [ ] Implement: - - [ ] Mergesort: O(n log n) average and worst case - - [ ] Quicksort O(n log n) average case - - Selection sort and insertion sort are both O(n^2) average and worst case - - For heapsort, see Heap data structure above. +- [ ] Implemente: + - [ ] Mergesort: O(n log n) Promedio y peor caso + - [ ] Quicksort O(n log n) Caso promedio + - El ordenamiento por selección y el de inserción ambos son O(n^2) Promedio y peor caso + - Para ordenamientos por montículos, vea la estructura de datos de Colas o filas arriba. -- [ ] Not required, but I recommended them: +- [ ] No requeridos, pero los recomendaría: - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) @@ -814,12 +814,12 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) -As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). -If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +Como resumen aquí esta una representación visual de [15 algoritmos de ordenamiento](https://www.youtube.com/watch?v=kPRA0W1kECg). +Si necesita más detalle de este tema vea “Ordenamientos” en [Detalles adicionales de ciertos temas](#detalles-adicionales-de-ciertos-temas) ## Grafos -Los grafos pueden ser usados para representar muchos problemas en las Ciencias de la Computación, así que es una sección larga, como lo son los trees y sorting. +Los grafos pueden ser usados para representar muchos problemas en las Ciencias de la Computación, así que es una sección larga, como lo son los árboles y ordenamientos. - Notas: - Hay cuatro formas básicas de representar un grafo en memoria: @@ -828,8 +828,8 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - Lista adyacente - Mapa adyacente - Familiarícese con cada representación y sus pros y contras - - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y como implementarlos en código real - - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continue. + - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y cómo implementarlos en código real + - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continúe. - [ ] Skiena Lectures - great intro: - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) @@ -854,7 +854,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) -- Full Coursera Course: +- Curso Completo de Coursera: - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - I'll implement: @@ -873,7 +873,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] list strongly connected components - [ ] check for bipartite graph -Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas +Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional - ### Recursión From 6ff8b0813a272b376f005a881d1714de41a2cfc6 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:21:42 -0500 Subject: [PATCH 67/94] Graphs --- translations/es/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 09325756c2..21b8c9bcaa 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -785,11 +785,11 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) - [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) -- [ ] Merge sort code: +- [ ] Codificando Merge sort: - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) -- [ ] Quick sort code: +- [ ] Codificando Quick sort: - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) @@ -831,7 +831,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y cómo implementarlos en código real - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continúe. -- [ ] Skiena Lectures - great intro: +- [ ] Lecturas de Skiena – Gran introducción): - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) @@ -839,7 +839,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) -- [ ] Graphs (review and more): +- [ ] Grafos (revisión y más): - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) @@ -857,7 +857,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - Curso Completo de Coursera: - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) -- I'll implement: +- Implementaré: - [ ] DFS with adjacency list (recursive) - [ ] DFS with adjacency list (iterative with stack) - [ ] DFS with adjacency matrix (recursive) From 6d8a4ce58687300507c8b8806bcaa38708e42cea Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:26:51 -0500 Subject: [PATCH 68/94] Dynamic Programming --- translations/es/README.md | 37 ++++++++++++++++++------------------- 1 file changed, 18 insertions(+), 19 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 21b8c9bcaa..66211f3cc0 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -858,21 +858,20 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - Implementaré: - - [ ] DFS with adjacency list (recursive) - - [ ] DFS with adjacency list (iterative with stack) - - [ ] DFS with adjacency matrix (recursive) - - [ ] DFS with adjacency matrix (iterative with stack) - - [ ] BFS with adjacency list - - [ ] BFS with adjacency matrix - - [ ] single-source shortest path (Dijkstra) - - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni videos above): - - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - - [ ] topological sort - - [ ] count connected components in a graph - - [ ] list strongly connected components - - [ ] check for bipartite graph - + - [ ] DFS con lista de adyacencia (recursión) + - [ ] DFS con la lista de adyacencia (iterativa con la pila) + - [ ] DFS con matriz de adyacencia (recursión) + - [ ] DFS con matriz de adyacencia (iterativa con pila) + - [ ] BFS con lista de adyacencia + - [ ] BFS con matriz de adyacencia + - [ ] Ruta de acceso de una sola fuente más corta (Dijkstra) + - [ ] Árbol de expansión mínimo + - Algoritmos basados en DFS (ver videos de Aduni arriba): + - [ ] Comprobar el ciclo (necesario para el tipo topológico, ya que vamos a comprobar el ciclo antes de comenzar) + - [ ] Clasificación topológica + - [ ] Cuenta los componentes conectados en un grafo + - [ ] Lista de componentes fuertemente conectados + - [ ] Verificación de grafo bipartito Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional @@ -888,10 +887,10 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - ### Programación Dinámica - - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. + - Este tema puede ser bastante difícil, ya que cada problema soluble PD debe definirse como una relación de recursión, y llegar a ella puede ser complicado. + - Sugiero que busque muchos ejemplos de problemas de PD hasta que tenga una comprensión sólida del patrón involucrado. - [ ] Videos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see + - Los videos de Skiena pueden ser duros de seguir ya que a veces usa el pizarrón que es demasiado pequeño para ver - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) @@ -899,7 +898,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - - [ ] List of individual DP problems (each is short): + - [ ] Lista de problemas individuales de PD (cada uno es corto): [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - [ ] Yale Lecture notes: - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) From 176a84bd3e9dfff9ec5213946d8a693d3b98e9d1 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:29:21 -0500 Subject: [PATCH 69/94] OOP --- translations/es/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 66211f3cc0..c62e0e0350 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -914,7 +914,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Programación Orientada a Objetos - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - - Can skip this if you have a great grasp of OO and OO design practices. + - Puede omitir esto si tiene una gran comprensión de OO y OO prácticas de diseño. - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] SOLID OOP Principles: - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) @@ -934,7 +934,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Patrones de diseño - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Learn these patterns: + - [ ] Aprenda estos patrones: - [ ] strategy - [ ] singleton - [ ] adapter From b6ba853b40cecd1d98c85cb16c5ef9a03eab4b4b Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:42:43 -0500 Subject: [PATCH 70/94] NP, NP-Complete --- translations/es/README.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index c62e0e0350..2581fc41f1 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -973,9 +973,8 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - ### NP, NP-Completo y Algoritmos de aproximación - - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, - and be able to recognize them when an interviewer asks you them in disguise. - - Know what NP-complete means. + - Conozca acerca de las clases más famosas de problemas de NP-completo, tales como el vendedor ambulante y el problema de la mochila y sea capaz de reconocerlos cuando un entrevistador se los pide disfrazados. + - Conozca que significa NP-completo. - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - [ ] Simonson: - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) @@ -989,9 +988,9 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvig discusses near-optimal solutions to traveling salesman problem: + - Peter Norvig discute soluciones casi óptimas para el problema del vendedor ambulante: - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Pages 1048 - 1140 in CLRS if you have it. + - Paginas 1048 - 1140 en CLRS si lo tiene. - ### Memoria cache - [ ] LRU cache: From 4f1222e80cef5cf013d069e9026b40a22c493cdf Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:55:22 -0500 Subject: [PATCH 71/94] Threads --- translations/es/README.md | 44 +++++++++++++++++++-------------------- 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 2581fc41f1..ec448d8e58 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -631,7 +631,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - [ ] Implementar: - - Búsqueda binaria (en un arreglo ordenado de enteros) + - Búsqueda binaria (en un arreglo ordenado de enteros) - Búsqueda binaria usando recursión - ### Operaciones bit a bit @@ -756,7 +756,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - No recomendaría ordenar una lista enlazada, pero el ordenamiento por mezcla es realizable. - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) -- Para ordenamientos por montículos, vea la estructura de datos de Colas o filas arriba. El ordenamiento por monticulos es estupendo, pero inestable. +- Para ordenamientos por montículos, vea la estructura de datos de Colas o filas arriba. El ordenamiento por montículos es estupendo, pero inestable. - [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) @@ -1003,31 +1003,31 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Procesos e hilos - [ ] Computer Science 162 - Operating Systems (25 videos): - - for processes and threads see videos 1-11 + - Para los procesos e hilos vea los videos 1-11 - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Covers: - - Processes, Threads, Concurrency issues - - difference between processes and threads - - processes - - threads - - locks - - mutexes - - semaphores - - monitors - - how they work - - deadlock - - livelock - - CPU activity, interrupts, context switching - - Modern concurrency constructs with multicore processors + - Cubre: + - Procesos, Hilos, Temas de Concurrencia + - Diferencia entre procesos e hilos + - Procesos + - Hilos + - Cerraduras + - Mutexes + - Semáforos + - Monitores + - Cómo trabajan ellos + - Bloqueo + - Livelock + - Actividad de CPU, interrupciones, conmutación de contexto + - Moderna concurrencia construida con procesadores multinúcleo - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) - - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - - Context switching - - How context switching is initiated by the operating system and underlying hardware + - Necesidades de recursos de proceso (memoria: código, almacenamiento estático, pila, monticulo y también descriptores de archivo, i /o) + - Necesidades de recursos de hilos (partes anteriores (menos pila) con otros hilos en el mismo proceso pero cada uno tiene su propio PC, contador de pila, registros y pila) + - Bifurcación es realmente copia en escritura (sólo lectura) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa. + - Cambio de contexto + - Cómo se inicia el cambio de contexto por el sistema operativo y el hardware subyacente - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - [ ] concurrency in Python (videos): - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) From 074a58db50f44db95a902e26e7801264df847b54 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:57:46 -0500 Subject: [PATCH 72/94] Papers --- translations/es/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index ec448d8e58..97222099a2 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1024,7 +1024,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) - Necesidades de recursos de proceso (memoria: código, almacenamiento estático, pila, monticulo y también descriptores de archivo, i /o) - - Necesidades de recursos de hilos (partes anteriores (menos pila) con otros hilos en el mismo proceso pero cada uno tiene su propio PC, contador de pila, registros y pila) + - Necesidades de recursos de hilos (partes anteriores (menos pila) con otros hilos en el mismo proceso, pero cada uno tiene su propio PC, contador de pila, registros y pila) - Bifurcación es realmente copia en escritura (sólo lectura) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa. - Cambio de contexto - Cómo se inicia el cambio de contexto por el sistema operativo y el hardware subyacente @@ -1039,14 +1039,14 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - ### Documentos - - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. + - La lectura de todos de extremo a extremo con la comprensión completa probablemente tomará más tiempo del que tiene. Recomiendo ser selectivo en los documentos y sus secciones. - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - replaced by Colossus in 2012 + - Remplazado por Colossus en 2012 - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - mostly replaced by Cloud Dataflow? + - ¿Casi totalmente remplazado por Cloud Dataflow? - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) From 3c32389734a69fdb0ebfd0b171fd4242e949c2e0 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 19:01:30 -0500 Subject: [PATCH 73/94] Testing --- translations/es/README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 97222099a2..ca08d0204a 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1071,11 +1071,11 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - ### Pruebas - - To cover: - - how unit testing works - - what are mock objects - - what is integration testing - - what is dependency injection + - A cubrir: + - Cómo funciona la prueba unitaria + - ¿Qué son objetos simulados? + - ¿Qué es la prueba de integración? + - ¿Qué es la inyección de dependencia? - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) @@ -1084,7 +1084,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Dependency injection: + - [ ] Inyección de dependencia: - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) From 3e40512f005cb458af387c4cfc6801fd7c4d65ca Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 20:42:06 -0500 Subject: [PATCH 74/94] Tries --- translations/es/README.md | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index ca08d0204a..129119e335 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1090,12 +1090,12 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - ### Planificador - - in an OS, how it works - - can be gleaned from Operating System videos + - En un SO, Como funciona + - Se pueden obtener de los videos del sistema operativo - ### Implementar rutinas del sistema - - understand what lies beneath the programming APIs you use - - can you implement them? + - Entienda lo que hay debajo de las API de programación que usa + - ¿Puede implementarlas? - ### Búsqueda de cadenas y manipulaciones - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) @@ -1107,18 +1107,17 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + Si necesita más detalle de este tema, vea "String Matching" en [Detalles adicionales de ciertos temas](#detalles-adicionales-de-ciertos-temas) - ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. + - Note que existen diferentes tipos de tries. Algunos tienen prefijos, otros no, y algunos usan cadenas en lugar de bits para seguir el camino. + - Leo a través del código pero no implementaría. - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: + - [ ] Videos de cursos cortos: - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) From 9f57ca6fcc1351bd63a9ed5ae633d9ac331319c9 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 03:27:21 -0500 Subject: [PATCH 75/94] Endianness --- translations/es/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 129119e335..8c3317b833 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1111,7 +1111,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Tries - Note que existen diferentes tipos de tries. Algunos tienen prefijos, otros no, y algunos usan cadenas en lugar de bits para seguir el camino. - - Leo a través del código pero no implementaría. + - Leo a través del código, pero no implementaría. - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) @@ -1138,11 +1138,11 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. + - Charlas muy técnicas para desarrolladores del kernel. No se preocupe si la mayoría se ve complicado. + - La primer mitad es suficiente. - ### Redes - - **Si tiene experiencia en redes o quiere se un Ingeniero en Sistemas espere preguntas** + - **Si tiene experiencia en redes o quiere ser un Ingeniero en Sistemas espere preguntas** - otherwise, this is just good to know - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) From 57c6b0de1d2b7a435566b841cc4ed7218f5051ec Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 03:29:34 -0500 Subject: [PATCH 76/94] Network --- translations/es/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 8c3317b833..874733e526 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1139,11 +1139,11 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - Charlas muy técnicas para desarrolladores del kernel. No se preocupe si la mayoría se ve complicado. - - La primer mitad es suficiente. + - La primera mitad es suficiente. - ### Redes - **Si tiene experiencia en redes o quiere ser un Ingeniero en Sistemas espere preguntas** - - otherwise, this is just good to know + - De cualquier forma, esto es bueno saberlo - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) From 5ad9e06a3000598fc6e4363cc51fd0272c04fa81 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 03:51:35 -0500 Subject: [PATCH 77/94] Scalability and System Design --- translations/es/README.md | 84 +++++++++++++++++++-------------------- 1 file changed, 41 insertions(+), 43 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 874733e526..e9cc114549 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -828,7 +828,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - Lista adyacente - Mapa adyacente - Familiarícese con cada representación y sus pros y contras - - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y cómo implementarlos en código real + - BFS and DFS – Conozca su complejidad computacional, sus compromisos y cómo implementarlos en código real - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continúe. - [ ] Lecturas de Skiena – Gran introducción): @@ -1159,30 +1159,28 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) ## Diseño del Sistema, Escalabilidad, Manejo de Datos -- **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. - Expect to spend quite a bit of time on this. -- Considerations: - - scalability - - Distill large data sets to single values - - Transform one data set to another - - Handling obscenely large amounts of data - - system design - - features sets - - interfaces - - class hierarchies - - designing a system under certain constraints - - simplicity and robustness - - tradeoffs - - performance analysis and optimization -- [ ] **START HERE**: [The System Design Primer](https://github.com/donnemartin/system-design-primer) +- ** Puede esperar preguntas sobre el diseño del sistema si tiene más de 4 años de experiencia.** +- La escalabilidad y el diseño del sistema son temas muy extensos con muchos temas y recursos, ya que hay mucho que considerar al diseñar un sistema de software / hardware que puede escalar. Espere dedicarle un buen tiempo a esto. +- Consideraciones: + - Escalabilidad + - Destilar conjuntos de datos grandes a valores únicos + - Transformar un conjunto de datos en otro + - Manejo de cantidades de datos obscenamente grandes + - Diseño de sistemas + - Conjuntos de características + - Interfaces + - Jerarquías de clases + - Diseñar un sistema bajo ciertas restricciones + - Simplicidad y robustez + - Compromisos + - Análisis y optimización del rendimiento +- [ ] **EMPIECE AQUI**: [The System Design Primer](https://github.com/donnemartin/system-design-primer) - [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) - [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) - [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) - [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) -- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. +- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - Hay muchos recursos en este. Mire los articulos y sus ejemplos. Pondré Algunos debajo. - [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) - [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) - [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) @@ -1250,31 +1248,31 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] Twitter: - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. -- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [The System Design Primer](https://github.com/donnemartin/system-design-primer) + - Para aún más, vea la serie de videos "Mining Massive Datasets" en la sección de Series de video. +- [ ] Practicando el proceso de diseño del sistema: Aquí hay algunas ideas para tratar de trabajar en papel, cada una con cierta documentación sobre cómo se manejó en el mundo real: + - Revisión: [The System Design Primer](https://github.com/donnemartin/system-design-primer) - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - - flow: - 1. Understand the problem and scope: - - define the use cases, with interviewer's help - - suggest additional features - - remove items that interviewer deems out of scope - - assume high availability is required, add as a use case - 2. Think about constraints: - - ask how many requests per month - - ask how many requests per second (they may volunteer it or make you do the math) - - estimate reads vs. writes percentage - - keep 80/20 rule in mind when estimating - - how much data written per second - - total storage required over 5 years - - how much data read per second - 3. Abstract design: - - layers (service, data, caching) - - infrastructure: load balancing, messaging - - rough overview of any key algorithm that drives the service - - consider bottlenecks and determine solutions - - Exercises: + - Flujo: + 1. Comprender el problema y el alcance: + - Definir los casos de uso, con ayuda del entrevistador + - Sugerir características adicionales + - Eliminar elementos que el entrevistador considera fuera de alcance + - Asumir alta disponibilidad es necesario, añadir como un caso de uso + 2. Piense en las limitaciones: + - Preguntar cuántas solicitudes por mes + - Preguntar cuántas solicitudes por segundo (que pueden ser voluntario o hacer que usted haga las matemáticas) + - Lectura de estimación vs. Escribir porcentajes + - Tenga en cuenta la regla 80/20 al estimar + - La cantidad de datos escritos por segundo + - Almacenamiento total requerido durante 5 años + - La cantidad de datos leídos por segundo + 3. Diseño abstracto: + - Capas (servicio, datos, almacenamiento en caché) + - Infraestructura: balanceo de carga, mensajería + - Descripción aproximada de cualquier algoritmo clave que impulsa el servicio + - Considerar los cuellos de botella y determinar las soluciones + - Ejercicios: - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) From b01090f14de809a86c1a87d0a4fb425467048d7a Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 03:57:59 -0500 Subject: [PATCH 78/94] Review --- translations/es/README.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index e9cc114549..29c23c653f 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -111,6 +111,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Extremidad (Endianness)](#extremidad-endianness) - [Redes](#redes) - [Diseño del Sistema, Escalabilidad, Manejo de Datos](#diseño-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) +- [Revisión final](#revisión-final) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificación) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificación-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) @@ -1284,14 +1285,14 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros --- -## Final Review +## Revisión final - This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. - It's nice if you want a refresher often. + Esta sección tendrá videos cortos que puede visualizar rapidamente para revisar algunos de los conceptos importantes. + Es bueno si quieres repasar a menudo. -- [ ] Series of 2-3 minutes short subject videos (23 videos) +- [ ] Series de videos cortos sobre temas de 2-3 minutos (23 videos) - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): +- [ ] Series de videos cortos sobre temas de 2-5 minutos - Michael Sambol (18 videos): - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) - [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) From d03ce1f06ec3b0119ea5a1eb64695e95e4d92fdd Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:27:33 -0500 Subject: [PATCH 79/94] Practice Code --- translations/es/README.md | 38 +++++++++++++++++--------------------- 1 file changed, 17 insertions(+), 21 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 29c23c653f..d1eb972e19 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1160,7 +1160,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) ## Diseño del Sistema, Escalabilidad, Manejo de Datos -- ** Puede esperar preguntas sobre el diseño del sistema si tiene más de 4 años de experiencia.** +- **Puede esperar preguntas sobre el diseño del sistema si tiene más de 4 años de experiencia.** - La escalabilidad y el diseño del sistema son temas muy extensos con muchos temas y recursos, ya que hay mucho que considerar al diseñar un sistema de software / hardware que puede escalar. Espere dedicarle un buen tiempo a esto. - Consideraciones: - Escalabilidad @@ -1325,43 +1325,39 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros ## Practica de preguntas de codificación -Now that you know all the computer science topics above, it's time to practice answering coding problems. +Ahora que conoce todos los tópicos de las Ciencias de la Computación mencionados anteriormente, es tiempo de practicar respondiendo algunos problemas de codificación. -**Coding question practice is not about memorizing answers to programming problems.** +**La practica de preguntas de codificación no es sobre memorizar respuestas a problemas de programación.** -Why you need to practice doing programming problems: -- problem recognition, and where the right data structures and algorithms fit in -- gathering requirements for the problem -- talking your way through the problem like you will in the interview -- coding on a whiteboard or paper, not a computer -- coming up with time and space complexity for your solutions -- testing your solutions - -There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview books, too, but I found this outstanding: +Porque necesita practicar haciendo problemas de programación: +- El reconocimiento de problemas, y donde las estructuras de datos y algoritmos adecuados encajan +- Reunir los requisitos para el problema +- Hablar sobre su camino a través del problema como lo hará en la entrevista +- Codificar en una pizarra o papel, no en un ordenador +- Llegar con la complejidad del tiempo y espacio para sus soluciones +- Probar sus soluciones +Hay una gran introducción para la solución de problemas metódicos y comunicativos en una entrevista. Conseguirá esto de los libros para la entrevista de programación también, pero encontré esto excepcional: [Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) -No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a -large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". -I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. +¿No tiene pizarrón en casa? Hace sentido. Soy un bicho raro y tengo una pizarra grande. En vez de una pizarra blanca, recoja un gran cuadernillo de dibujo de una tienda de arte. Puede sentarse en el sofá y practicar. Esta es mi "pizarra de sofá". He añadido la pluma en la foto para la escala. Si usa un bolígrafo, deseará poder borrarlo. Se ensucia rápido. ![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) -Supplemental: +Complementarios: - [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) - [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) - [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) - [Exercises for getting better at a given language](http://exercism.io/languages) -**Read and Do Programming Problems (in this order):** +**Lea y haga problemas de programación (en ese orden):** - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C, C++ and Java + - Respuestas en C, C++ y Java - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java + - Respuestas en Java -See [Book List above](#book-list) +Vea [Lista de libros](#lista-de-libros) ## Ejercicios de codificación/Desafíos Once you've learned your brains out, put those brains to work. From 79be776edd6eb3fc1c31cda42b7d9f43793a4894 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:32:08 -0500 Subject: [PATCH 80/94] Challenges --- translations/es/README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index d1eb972e19..43e17ca72d 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1360,17 +1360,17 @@ Complementarios: Vea [Lista de libros](#lista-de-libros) ## Ejercicios de codificación/Desafíos -Once you've learned your brains out, put those brains to work. -Take coding challenges every day, as many as you can. +Una vez haya aprendido, ponga ese cerebro a trabajar. +Tome desafíos de codificación todos los días y tantos como pueda. - [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) - [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) -Coding Interview Question Videos: +Videos de preguntas de entrevistas de código: - [IDeserve (88 videos)](https://www.youtube.com/watch?v=NBcqBddFbZw&list=PLamzFoFxwoNjPfxzaWqs7cZGsPYy0x_gI) - [Tushar Roy (5 playlists)](https://www.youtube.com/user/tusharroy2525/playlists?shelf_id=2&view=50&sort=dd) -Challenge sites: +Sitios de desafíos: - [LeetCode](https://leetcode.com/) - [TopCoder](https://www.topcoder.com/) - [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) @@ -1383,10 +1383,10 @@ Challenge sites: - [InterviewBit](https://www.interviewbit.com/invite/icjf) - [Sphere Online Judge (spoj)](http://www.spoj.com/) -Challenge repos: +Repos de desafíos: - [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) -Mock Interviews: +Bosquejos de entrevista: - [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) - [Refdash: Mock interviews](https://refdash.com/) From d4d77480b307ad4bac8342d2318725084f25268b Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:33:47 -0500 Subject: [PATCH 81/94] Your Resume --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 43e17ca72d..1d32403339 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1399,7 +1399,7 @@ Bosquejos de entrevista: ## Su CV -- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed +- Vea los elementos de preparación en **Cracking The Coding Interview and back of Programming Interviews Exposed** ## Pensando en cuando llegue la entrevista From e3e2d2f3692d307030b1f9a15e65f27c6c9e5b3e Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:40:16 -0500 Subject: [PATCH 82/94] Soon the interview --- translations/es/README.md | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 1d32403339..a8e83e8dca 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1404,21 +1404,21 @@ Bosquejos de entrevista: ## Pensando en cuando llegue la entrevista -Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. -Have a story, not just data, about something you accomplished. - -- Why do you want this job? -- What's a tough problem you've solved? -- Biggest challenges faced? -- Best/worst designs seen? -- Ideas for improving an existing product. -- How do you work best, as an individual and as part of a team? -- Which of your skills or experiences would be assets in the role and why? -- What did you most enjoy at [job x / project y]? -- What was the biggest challenge you faced at [job x / project y]? -- What was the hardest bug you faced at [job x / project y]? -- What did you learn at [job x / project y]? -- What would you have done better at [job x / project y]? +Piense en aproximadamente veinte preguntas de la entrevista que usted conseguirá, junto con las líneas de abajo. Tenga 2-3 respuestas para cada una. +Tener una historia, no sólo datos, sobre algo que logro. + +- ¿Por qué quiere este trabajo? +- ¿Cuál es un problema difícil que ha resuelto? +- ¿Cuáles han sido los mayores desafíos enfrentados? +- ¿Cuáles han sido los mejores / peores diseños vistos? +- Ideas para mejorar un producto existente. +- ¿Cómo trabaja mejor, individualmente y como parte de un equipo? +- ¿Cuáles de sus habilidades o experiencias serían claves en el rol y por qué? +- ¿Qué es lo que más disfruto en [ x trabajo / y proyecto]? +- ¿Cuál fue el mayor reto al que se enfrentó en [x trabajo / y proyecto]? +- ¿Cuál fue el error más difícil que enfrentó en [x trabajo / y proyecto]? +- ¿Qué aprendió en [x trabajo / y proyecto]? +- ¿Qué habría hecho mejor en [x trabajo / y proyecto]? ## Preguntas para el entrevistador From 45fc3a8124911f57f1958226a7a34f3b34410036 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:44:16 -0500 Subject: [PATCH 83/94] Once having the job --- translations/es/README.md | 28 +++++++++++++--------------- 1 file changed, 13 insertions(+), 15 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index a8e83e8dca..68da215500 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1422,25 +1422,23 @@ Tener una historia, no sólo datos, sobre algo que logro. ## Preguntas para el entrevistador - Some of mine (I already may know answer to but want their opinion or team perspective): + Algunos de las mías (ya sé u respuesta, pero quiero su opinión o la perspectiva del equipo): -- How large is your team? -- What does your dev cycle look like? Do you do waterfall/sprints/agile? -- Are rushes to deadlines common? Or is there flexibility? -- How are decisions made in your team? -- How many meetings do you have per week? -- Do you feel your work environment helps you concentrate? -- What are you working on? -- What do you like about it? -- What is the work life like? +- ¿Qué tan grande es su equipo? +- ¿Cómo es su ciclo de desarrollo? ¿Haces waterfall / sprints / agile? +- ¿Son corrientes las fechas límite comunes? ¿O hay flexibilidad? +- ¿Cómo se toman las decisiones en su equipo? +- ¿Cuántas reuniones tienes por semana? +- ¿Siente que su ambiente de trabajo le ayuda a concentrarse? +- ¿En que estas trabajando? +- ¿Qué te gusta de ello? +- ¿Cómo es la vida laboral? -## Una vez obtenido el empleo +¡Felicitaciones! -Congratulations! +Manténgase aprendiendo. -Keep learning. - -You're never really done. +Nunca está de verdad realizado. --- From 7b82f8772c716ff76e6d982fbc2ed74d4c1d99f4 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:48:19 -0500 Subject: [PATCH 84/94] Aditional Books --- translations/es/README.md | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 68da215500..293004ef87 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1444,11 +1444,8 @@ Nunca está de verdad realizado. ***************************************************************************************************** ***************************************************************************************************** - - Everything below this point is optional. - By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for - any software engineering job. You'll be a much more well-rounded software engineer. - + Todo lo que está debajo de este punto es opcional. + Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** @@ -1456,15 +1453,15 @@ Nunca está de verdad realizado. ## Libros adicionales - [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - - an oldie but a goodie + - Viejo pero bueno - [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) - - a modern option + - Una opción moderna - [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) - [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) - - a gentle introduction to design patterns + - Una gentil introducción al diseño de patrones - [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - - aka the "Gang Of Four" book, or GOF - - the canonical design patterns book + - aka el libro "Gang Of Four" , o GOF + - El libro canonico de diseño de patrones - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) ## Aprendizaje adicional From 170af304bc51dfece9a63e5845140fca8674c567 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 05:00:17 -0500 Subject: [PATCH 85/94] Additional learning --- translations/es/README.md | 31 +++++++++++++++---------------- 1 file changed, 15 insertions(+), 16 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 293004ef87..473c0852a8 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1466,8 +1466,7 @@ Nunca está de verdad realizado. ## Aprendizaje adicional -These topics will likely not come up in an interview, but I added them to help you become a well-rounded -software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. +Es probable que estos temas no aparezcan en una entrevista, pero los añadí para ayudarle a convertirse en un Ingeniero de Software más completo, y ser consciente en ciertas tecnologías y algoritmos, para que tenga una caja de herramientas más grande. - ### Compiladores - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) @@ -1476,19 +1475,19 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) - ### Emacs y Vi(m) - - Familiarize yourself with a unix-based code editor - - vi(m): + - Familiarícese con un editor de código basado en Unix + - Vi(m): - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - [VIM Adventures](http://vim-adventures.com/) - - set of 4 videos: + - Conjunto de 4 videos: - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) - - emacs: + - Emacs: - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (videos): + - Conjunto de 3 videos: - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) @@ -1497,7 +1496,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - ### Unix: Herramientas para la línea de comandos - - I filled in the list below from good tools. + - Llene la lista inferior con buenas herramientas. - [ ] bash - [ ] cat - [ ] grep @@ -1512,11 +1511,11 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - ### Teoría de la información (videos) - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - - [ ] more about Markov processes: + - [ ] Más acerca de los procesos de Markov: - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - - See more in MIT 6.050J Information and Entropy series below. + - Vea más en la serie MIT 6.050J Information and Entropy. - ### Código de paridad y Hamming (videos) - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) @@ -1527,19 +1526,19 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - ### Entropía - - also see videos below - - make sure to watch information theory videos first + - También vea los videos de abajo + - Asegúrese de ver los videos de la teoría de la información primero - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) - ### Criptografía - - also see videos below - - make sure to watch information theory videos first + - También ve los videos de abajo + - Asegúrese de ver los videos de la teoría de la información primero - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) -- ### Compression - - make sure to watch information theory videos first +- ### Compresión + - Asegúrese de ver los videos de la teoría de la información primero - [ ] Computerphile (videos): - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) From 22725e33a70d0ee11671becd4172df261f32a320 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 05:58:30 -0500 Subject: [PATCH 86/94] Aditional Learning --- translations/es/README.md | 138 ++++++++++++++++---------------------- 1 file changed, 59 insertions(+), 79 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 473c0852a8..fbd9969506 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1608,8 +1608,8 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) -- ### Bloom Filter - - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) +- ### Filtro de Bloom + - Dado un filtro de Bloom con m bits y k funciones de hashing, tanto las pruebas de inserción como de pertenencia son O(k) - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) - [Tutorial](http://billmill.org/bloomfilter-tutorial/) @@ -1618,12 +1618,12 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - ### HyperLogLog - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) -- ### Locality-Sensitive Hashing - - used to determine the similarity of documents - - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. +- ### Hashing sensible a la localidad + - Usado para determiner la similitude de documentos + - Lo opuesto de MD5 o SHA que son usados para determinar si dos documentos/cadenas son exactamente iguales. - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) -- ### van Emde Boas Trees +- ### Árboles van Emde Boa - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) @@ -1631,104 +1631,85 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) - ### Árboles de búsqueda equilibrada - - Know least one type of balanced binary tree (and know how it's implemented): - - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. - A particularly interesting self-organizing data structure is the splay tree, which uses rotations - to move any accessed key to the root." - Skiena - - Of these, I chose to implement a splay tree. From what I've read, you won't implement a - balanced search tree in your interview. But I wanted exposure to coding one up - and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. - - splay tree: insert, search, delete functions - If you end up implementing red/black tree try just these: - - search and insertion functions, skipping delete - - I want to learn more about B-Tree since it's used so widely with very large data sets. + - Conocer por lo menos un tipo de árbol binario equilibrado (y saber cómo se implementa): + - " Entre los árboles de búsqueda equilibrada, los árboles AVL y 2/3 están ahora pasados de moda, y los árboles rojo-negro parecen ser más populares. + Una estructura de datos auto-organizable particularmente interesante es el árbol biselados, que utilizan rotaciones para mover cualquier clave accedida a la raíz.." - Skiena + - De estos, opté por implementar un árbol biselado. Por lo que he leído, no implementarás un árbol de búsqueda equilibrado en tu entrevista. Pero yo quería exponer la codificación de uno y bueno, los árboles son las rodillas de la abeja. He leído un montón de código de árbol rojo-negro. + - Árboles biselados: Funciones insert, search, delete + Si terminas implementando un árbol rojo / negro, intenta lo siguiente: + - Funciones de búsqueda e inserción, saltándose eliminar + - Quiero aprender más acerca de los Árboles-B ya que se utiliza tan ampliamente con conjuntos de datos muy grandes. - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - [ ] **AVL trees** - - In practice: - From what I can tell, these aren't used much in practice, but I could see where they would be: - The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly - balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it - attractive for data structures that may be built once and loaded without reconstruction, such as language - dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). + - [ ] ** Árboles AVL ** + - En práctica: + Por lo que puedo decir, estos no se usan mucho en la práctica, pero pude ver dónde estarían: + El árbol AVL es otra estructura que soporta la búsqueda, inserción y eliminación de O (log n). Es más rígidamente equilibrado que los árboles rojo-negro, lo que lleva a una inserción y eliminación más lenta, pero más rápido la recuperación. Esto lo hace atractivo para las estructuras de datos que se pueden construir una vez y se cargan sin reconstrucción, como diccionarios de idiomas (o diccionarios de programas, como los opcodes de un ensamblador o intérprete). - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - - [ ] **Splay trees** - - In practice: - Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, - data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, - networking and file system code) etc. + - [ ] **Árboles biselados** + - En práctica: + Los árboles biselados son típicamente usados en la implementación de la memoria cache, ssignadores de memoria, enrutadores, recolectores de basura, compresión de datos, cuerdas (reemplazo de la cadena utilizada para cadenas de texto largas), en Windows NT (en la memoria virtual, en red y en el código del sistema de archivos) etc. - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - [ ] MIT Lecture: Splay Trees: - - Gets very mathy, but watch the last 10 minutes for sure. + - Se vuelve muy matemático, pero vea los 10 últimos minutos. - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - - [ ] **Red/black trees** - - these are a translation of a 2-3 tree (see below) - - In practice: - Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. - Not only does this make them valuable in time-sensitive applications such as real-time applications, - but it makes them valuable building blocks in other data structures which provide worst-case guarantees; - for example, many data structures used in computational geometry can be based on red–black trees, and - the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, - the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor - hashcodes, a Red-Black tree is used. + - [ ] **Árboles rojos/negros** + - Éstos son una traducción de un árbol 2-3 (véase abajo) + - En la práctica: + Los árboles rojo-negro ofrecen las peores garantías de tiempo de inserción, tiempo de borrado y tiempo de búsqueda. + Esto no solo los hace valiosos en aplicaciones sensibles al tiempo como las aplicaciones en tiempo real, sino que las convierte en elementos valiosos en otras estructuras de datos que proporcionan las garantías más desfavorables; por ejemplo, muchas estructuras de datos utilizadas en la geometría computacional pueden basarse en árboles rojos y negros, y el Completely Fair Scheduler utilizado en los kernels Linux actuales usa árboles de color rojo-negro. En la versión 8 de Java, la Colección HashMap se ha modificado de manera que en lugar de usar una lista enlazada para almacenar elementos idénticos con códigos de hash pobres, se utiliza un árbol Rojo-Negro. - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) - - [ ] **2-3 search trees** - - In practice: - 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. + - [ ] **Árboles de búsqueda 2-3** + - En práctica: + Los árboles 2-3 tienen inserciones más rápidas a expensas de búsquedas más lentas (ya que la altura es más comparada con árboles AVL). + - Usará árboles 2-3 muy raramente porque su implementación implica diferentes tipos de nodos. En su lugar, las personas utilizan árboles de color rojo negro. - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] **2-3-4 Trees (aka 2-4 trees)** - - In practice: - For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion - operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an - important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce - 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. + - [ ] **Árboles 2-3-4 (aka Árboles 2-4)** + - En práctica: + Para cada árbol 2-4, hay árboles rojo-negro correspondientes con elementos de datos en el mismo orden. Las operaciones de inserción y supresión en árboles 2-4 también son equivalentes a la rotación de color en rojos y negros árboles. Esto hace que árboles 2-4 sean una herramienta importante para entender la lógica detrás de los árboles rojo-negros, y es por eso que muchos textos de algoritmo introductorios introducen árboles 2-4 justo antes de los árboles rojo-negro, aunque ** 2-4 árboles no son a menudo utilizados en la práctica**. - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - - [ ] **N-ary (K-ary, M-ary) trees** - - note: the N or K is the branching factor (max branches) - - binary trees are a 2-ary tree, with branching factor = 2 - - 2-3 trees are 3-ary + - [ ] **Árboles N-avo (K-avo, M-avo)** + - Nota: La N o K es el factor de ramificación (ramas máximas) + - Los árboles binarios son un árbol de 2 aros, con factor de ramificación = 2 + - Los árboles 2-3 son 3-avos - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - - [ ] **B-Trees** - - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) - - In Practice: - B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to - its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary - block in a particular file. The basic problem is turning the file block i address into a disk block - (or perhaps to a cylinder-head-sector) address. + - [ ] **Árboles-B** + - Dato curios: Es un misterio, pero la B puede ser por Boeing, Balanceado, o Bayer (co-inventor) + - En práctica: + Árboles-B son ampliamente utilizados en bases de datos. La mayoría de los sistemas de archivos modernos utilizan árboles B (o variantes). Además de su uso en bases de datos, el árbol B también se utiliza en sistemas de archivos para permitir el acceso rápido y aleatorio a un bloque arbitrario en un archivo en particular. El problema básico es convertir la dirección de bloque de archivos i en una dirección de bloque de disco (o tal vez a una dirección de cilindro-cabezal). - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - covers cache-oblivious B-Trees, very interesting data structures - - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) + - Cubre cache-inconsistentes árboles-B, estructuras de datos muy interesantes + - Los primeros 37 minutos son muy técnicos, puede saltarlos (B es tamaño de bloque, tamaño de línea de caché) -- ### k-D Trees - - great for finding number of points in a rectangle or higher dimension object - - a good fit for k-nearest neighbors +- ### Árboles k-D + - Ideal para encontrar el número de puntos en un rectángulo o un objeto de dimensión superior + - Un buen ajuste para k-vecinos más cercanos - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) -- ### Skip lists - - "These are somewhat of a cult data structure" - Skiena +- ### Lista por saltos + - " Éstos son algo de una culta estructura de datos" - Skiena - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) @@ -1737,7 +1718,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) -- ### Disjoint Sets & Union Find +- ### Conjuntos disjuntos & Encontrar unión - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) @@ -1746,7 +1727,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) - ### Treap - - Combination of a binary search tree and a heap + - Combinación de un árbol de búsqueda binaria y un montículo - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) @@ -1763,10 +1744,10 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - ### Matemáticas discretas - - see videos below + - Vea videos debajo -- ### Machine Learning - - [ ] Why ML? +- ### Aprendizaje automático + - [ ] ¿Por qué el aprendizaje automático? - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) @@ -1775,10 +1756,10 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - - Courses: + - Cursos: - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) + - Vea los videos 12-18 para un resumen de algebra lineal (14 y 15 son duplicados) - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) @@ -1796,9 +1777,8 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par ## Detalles adicionales de ciertos temas - I added these to reinforce some ideas already presented above, but didn't want to include them - above because it's just too much. It's easy to overdo it on a subject. - You want to get hired in this century, right? + Agregué estos para reforzar algunas ideas ya presentadas anteriormente, pero no quería incluirlas arriba porque es demasiado. Es fácil exagerar en un tema. + ¿Quieres ser contratado en este siglo, verdad? - [ ] **Union-Find** - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) @@ -1866,7 +1846,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par ## Series de videos -Sit back and enjoy. "Netflix and skill" :P +Siéntese y disfrute. "Netflix and skill" :P - [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) From cee7a9c35b94ed5cb41aebf67d9c64ed472d9970 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 06:13:05 -0500 Subject: [PATCH 87/94] Fix typos and grammar errors --- translations/es/README.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index fbd9969506..62f5c81927 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1245,7 +1245,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together + - [ ] Vea la forma en "Messaging, Serialization, and Queueing Systems" debajo para la información sobre algunas de las tecnologías que pueden pegar servicios juntos - [ ] Twitter: - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) @@ -1287,7 +1287,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros ## Revisión final - Esta sección tendrá videos cortos que puede visualizar rapidamente para revisar algunos de los conceptos importantes. + Esta sección tendrá videos cortos que puede visualizar rápidamente para revisar algunos de los conceptos importantes. Es bueno si quieres repasar a menudo. - [ ] Series de videos cortos sobre temas de 2-3 minutos (23 videos) @@ -1445,7 +1445,9 @@ Nunca está de verdad realizado. ***************************************************************************************************** ***************************************************************************************************** Todo lo que está debajo de este punto es opcional. - Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. + Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de + +la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** @@ -1678,7 +1680,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] **Árboles 2-3-4 (aka Árboles 2-4)** - En práctica: - Para cada árbol 2-4, hay árboles rojo-negro correspondientes con elementos de datos en el mismo orden. Las operaciones de inserción y supresión en árboles 2-4 también son equivalentes a la rotación de color en rojos y negros árboles. Esto hace que árboles 2-4 sean una herramienta importante para entender la lógica detrás de los árboles rojo-negros, y es por eso que muchos textos de algoritmo introductorios introducen árboles 2-4 justo antes de los árboles rojo-negro, aunque ** 2-4 árboles no son a menudo utilizados en la práctica**. + Para cada árbol 2-4, hay árboles rojo-negro correspondientes con elementos de datos en el mismo orden. Las operaciones de inserción y supresión en árboles 2-4 también son equivalentes a la rotación de color en rojos y negros árboles. Esto hace que árboles 2-4 sean una herramienta importante para entender la lógica detrás de los árboles rojo-negros, y es por eso que muchos textos de algoritmo introductorios introducen árboles 2-4 justo antes de los árboles rojo-negro, aunque **Los árboles 2-4 no son a menudo utilizados en la práctica**. - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) @@ -1698,7 +1700,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - Cubre cache-inconsistentes árboles-B, estructuras de datos muy interesantes + - Cubre árboles-B de cache inconsistente, estructuras de datos muy interesantes - Los primeros 37 minutos son muy técnicos, puede saltarlos (B es tamaño de bloque, tamaño de línea de caché) From aa79be581b9b43498ccdbfc497c510beeab49f6c Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 07:33:56 -0500 Subject: [PATCH 88/94] First Revision Translated missed comments --- translations/es/README.md | 61 +++++++++++++++++++-------------------- 1 file changed, 30 insertions(+), 31 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 62f5c81927..b0185af93b 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -493,7 +493,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) - [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) - [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) -- [ ] TopCoder (includes recurrence relations and master theorem): +- [ ] TopCoder (incluye relaciones de recurrencia y teorema maestro): - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) - [ ] [Cheat sheet](http://bigocheatsheet.com/) @@ -615,7 +615,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - - [ ] distributed hash tables: + - [ ] Matriz asociativas distribuidas: - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) @@ -647,19 +647,19 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - - [ ] 2s and 1s complement + - [ ] Complemento a uno y dos - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] count set bits + - [ ] Contar bits puestos - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] round to next power of 2: + - [ ] Redondeo a la próxima potencia de 2: - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] swap values: + - [ ] Valor de intercambio: - [Swap](http://bits.stephan-brumme.com/swap.html) - - [ ] absolute value: + - [ ] Valores absolutos: - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) ## Árboles @@ -877,13 +877,13 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros ## Más información adicional - ### Recursión - - [ ] Stanford lectures on recursion & backtracking: + - [ ] Conferencias de Stanford sobre la recursividad y retroceso: - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - when it is appropriate to use it - - how is tail recursion better than not? + - Cuando es apropiado usarlo + - ¿Cómo es la recursión de cola mejor que no? - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) @@ -901,7 +901,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - [ ] Lista de problemas individuales de PD (cada uno es corto): [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - - [ ] Yale Lecture notes: + - [ ] Notas de la clase de Yale: - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - [ ] Coursera: - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) @@ -917,7 +917,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - Puede omitir esto si tiene una gran comprensión de OO y OO prácticas de diseño. - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] SOLID OOP Principles: + - [ ] Principios SOLID OOP: - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) @@ -926,10 +926,10 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use + - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | Los clients no deberían ser forzados a implementar interfaces no usarán - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. + - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reducir la dependencia en la composición de los objetos. - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) @@ -958,7 +958,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. + - Sé que el libro canónico es "Design Patterns: Elements of Reusable Object-Oriented Software", pero Head First es ideal para principiantes a OO. - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) @@ -968,9 +968,9 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - [ ] Khan Academy: - - Course layout: + - Diseño del curso: - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the videos - 41 (each are simple and each are short): + - Solo los videos - 41 (cada uno simple y corto): - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - ### NP, NP-Completo y Algoritmos de aproximación @@ -1057,7 +1057,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) - - paper not available + - Documento no disponible - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) @@ -1187,15 +1187,15 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) - [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) - [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) -- [ ] Paxos Consensus algorithm: +- [ ] Algoritmo de consenso de Paxos: - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) - [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) - [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) -- [ ] Scalability: +- [ ] Escalabilidad: - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - - [ ] Short series: + - [ ] Series Cortas: - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) @@ -1446,8 +1446,7 @@ Nunca está de verdad realizado. ***************************************************************************************************** Todo lo que está debajo de este punto es opcional. Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de - -la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. + la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** @@ -1643,7 +1642,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - Quiero aprender más acerca de los Árboles-B ya que se utiliza tan ampliamente con conjuntos de datos muy grandes. - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - [ ] ** Árboles AVL ** + - [ ] **Árboles AVL** - En práctica: Por lo que puedo decir, estos no se usan mucho en la práctica, pero pude ver dónde estarían: El árbol AVL es otra estructura que soporta la búsqueda, inserción y eliminación de O (log n). Es más rígidamente equilibrado que los árboles rojo-negro, lo que lleva a una inserción y eliminación más lenta, pero más rápido la recuperación. Esto lo hace atractivo para las estructuras de datos que se pueden construir una vez y se cargan sin reconstrucción, como diccionarios de idiomas (o diccionarios de programas, como los opcodes de un ensamblador o intérprete). @@ -1711,7 +1710,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) - ### Lista por saltos - - " Éstos son algo de una culta estructura de datos" - Skiena + - " Éste es algo de una culta estructura de datos" - Skiena - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) @@ -1767,8 +1766,8 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - - Resources: - - Books: + - Recursos: + - Libros: - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) @@ -1803,7 +1802,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): +- [ ] MIT **Probability** (Matemático y va lento, que es bueno para las cosas matemáticas) (videos): - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) @@ -1828,9 +1827,9 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - - nice explanation of tries - - can be skipped + - Inicia bien, pero en el momento en que pasa KMP se vuelve más complicado de lo que necesita ser + - Buena explicación de los tries + - Puede saltarse - [ ] **Sorting** From e1312abda16d7869b7cbd75ba74eb007f87211f8 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 07:37:43 -0500 Subject: [PATCH 89/94] Typo --- translations/es/README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index b0185af93b..3f2ef095c1 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -926,7 +926,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | Los clients no deberían ser forzados a implementar interfaces no usarán + - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | Los clientes no deberían ser forzados a implementar interfaces no usarán - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reducir la dependencia en la composición de los objetos. @@ -1446,7 +1446,8 @@ Nunca está de verdad realizado. ***************************************************************************************************** Todo lo que está debajo de este punto es opcional. Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de - la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. + la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. + Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** From eeab4daca526616f41cfa3b00737f0078c13fae2 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 23:29:14 -0500 Subject: [PATCH 90/94] Reverse structure --- translations/README-es.md | 2022 ----------------- translations/{ar/README.md => README_ar.md} | 0 translations/{cn/README.md => README_cn.md} | 0 translations/{es/README.md => README_es.md} | 177 +- translations/{fr/README.md => README_fr.md} | 0 translations/{he/README.md => README_he.md} | 0 translations/{hi/README.md => README_hi.md} | 0 translations/{id/README.md => README_id.md} | 0 translations/{ko/README.md => README_ko.md} | 0 translations/{pl/README.md => README_pl.md} | 0 translations/{th/README.md => README_th.md} | 0 translations/{uk/README.md => README_uk.md} | 0 translations/{vi/README.md => README_vi.md} | 0 translations/es/src/AdquiridoAmazon.md | 22 - translations/{mock-up => }/how-to.md | 0 ...e Genius Programmer Google Developers .odp | Bin 2381769 -> 0 bytes .../its-dangerous-to-go-alone-pycon.pptx | Bin 895985 -> 0 bytes 17 files changed, 88 insertions(+), 2133 deletions(-) delete mode 100644 translations/README-es.md rename translations/{ar/README.md => README_ar.md} (100%) rename translations/{cn/README.md => README_cn.md} (100%) rename translations/{es/README.md => README_es.md} (96%) rename translations/{fr/README.md => README_fr.md} (100%) rename translations/{he/README.md => README_he.md} (100%) rename translations/{hi/README.md => README_hi.md} (100%) rename translations/{id/README.md => README_id.md} (100%) rename translations/{ko/README.md => README_ko.md} (100%) rename translations/{pl/README.md => README_pl.md} (100%) rename translations/{th/README.md => README_th.md} (100%) rename translations/{uk/README.md => README_uk.md} (100%) rename translations/{vi/README.md => README_vi.md} (100%) delete mode 100644 translations/es/src/AdquiridoAmazon.md rename translations/{mock-up => }/how-to.md (100%) delete mode 100644 translations/mock-up/The Myth of the Genius Programmer Google Developers .odp delete mode 100644 translations/mock-up/its-dangerous-to-go-alone-pycon.pptx diff --git a/translations/README-es.md b/translations/README-es.md deleted file mode 100644 index 87097080ea..0000000000 --- a/translations/README-es.md +++ /dev/null @@ -1,2022 +0,0 @@ -# Google Interview University - -Version original: [Inglés](../README.md) - -## ¿Qué es? - -Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de la computación) -a ingeniero de software en Google. - -![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) - -Esta larga lista, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que -tienes que saber. -Hay algunas cosas extra que he añadido al final, que pueden aparecer en una entrevista, o ser de ayuda al solucionar -problemas. Extraje muchas de ellas de "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" -de Steve Yegge, y a veces aparecen, palabra por palabra en las notas de coaching de Google. - -He reducido lo que tienes que saber de lo que Yegge recomienda. He alterado los requerimientos de Yegge acorde con la -información que me facilitó me contacto en Google. Está orientado para **nuevos ingenieros de software** or para aquellos -que cambian el desarrollo de software o web, por ingeniería de software (donde se necesita conocimiento en ciencias de -computadores). Si tienes muchos años de experiencia y gran parte es experiencia en ingeniería de software, espera que -la entrevista sea más dura. [Lee más aquí](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). - -Si tienes muchos años de experiencia en desarrollo de software o web, ten en cuenta que Google ve la ingenieria del software -como algo diferente al desarrollo web, y ellos requiren conocimiento en ciencias de computadores. - -Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de sistemas, estudia más de la lista opcional (redes, seguridad). - ---- - -## Tabla de Contenidos - -- [¿Qué es?](#qué-es) -- [¿Por qué usarlo?](#por-qué-usarlo) -- [Cómo usarlo](#cómo-usarlo) -- [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía) -- [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google) -- [Sigue el progreso conmigo](#sigue-el-progreso-conmigo) -- [No pienses que no eres suficientemente inteligente](#no-pienses-que-no-eres-suficientemente-inteligente) -- [Acerca de Google](#acerca-de-google) -- [Acerca de los recursos en vídeo](#acerca-de-los-recursos-en-video) -- [Prepárate para la entrevista](#preparate-para-la-entrevista) -- [Escoge un lenguaje para la entrevista](#escoge-un-lenguaje-para-la-entrevista) -- [Lista de libros](#lista-de-libros) -- [Antes de que Comiences](#antes-de-que-comiences) -- [Lo que no Verás Cubierto](#lo-que-no-verás-cubierto) -- [Prerequisite Knowledge](#prerequisite-knowledge) -- [The Daily Plan](#the-daily-plan) -- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) -- [Data Structures](#data-structures) - - [Arrays](#arrays) - - [Linked Lists](#linked-lists) - - [Stack](#stack) - - [Queue](#queue) - - [Hash table](#hash-table) -- [Para saber más](#para-saber-mas) - - [Búsqueda binaria](#busqueda-binaria) - - [Operaciones bit a bit](#operaciones-bit-a-bit) -- [Trees](#trees) - - [Trees - Notes & Background](#trees---notes--background) - - [Binary search trees: BSTs](#binary-search-trees-bsts) - - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) - - balanced search trees (general concept, not details) - - traversals: preorder, inorder, postorder, BFS, DFS -- [Sorting](#sorting) - - selection - - insertion - - heapsort - - quicksort - - merge sort -- [Graphs](#graphs) - - directed - - undirected - - adjacency matrix - - adjacency list - - traversals: BFS, DFS -- [Even More Knowledge](#even-more-knowledge) - - [Recursion](#recursion) - - [Object-Oriented Programming](#object-oriented-programming) - - [Design Patterns](#design-patterns) - - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - - [Caches](#caches) - - [Processes and Threads](#processes-and-threads) - - [Papers](#papers) - - [Testing](#testing) - - [Scheduling](#scheduling) - - [Implement system routines](#implement-system-routines) - - [String searching & manipulations](#string-searching--manipulations) -- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) -- [Final Review](#final-review) -- [Coding Question Practice](#coding-question-practice) -- [Coding exercises/challenges](#coding-exerciseschallenges) -- [Once you're closer to the interview](#once-youre-closer-to-the-interview) -- [Your Resume](#your-resume) -- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) -- [Have questions for the interviewer](#have-questions-for-the-interviewer) -- [Once You've Got The Job](#once-youve-got-the-job) - ----------------- Everything below this point is optional ---------------- - -- [Additional Books](#additional-books) -- [Additional Learning](#additional-learning) - - [Dynamic Programming](#dynamic-programming) - - [Compilers](#compilers) - - [Floating Point Numbers](#floating-point-numbers) - - [Unicode](#unicode) - - [Endianness](#endianness) - - [Emacs and vi(m)](#emacs-and-vim) - - [Unix command line tools](#unix-command-line-tools) - - [Information theory](#information-theory) - - [Parity & Hamming Code](#parity--hamming-code) - - [Entropy](#entropy) - - [Cryptography](#cryptography) - - [Compression](#compression) - - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) - - [Computer Security](#computer-security) - - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) - - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) - - [Fast Fourier Transform](#fast-fourier-transform) - - [Bloom Filter](#bloom-filter) - - [HyperLogLog](#hyperloglog) - - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - - [van Emde Boas Trees](#van-emde-boas-trees) - - [Augmented Data Structures](#augmented-data-structures) - - [Tries](#tries) - - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Balanced search trees](#balanced-search-trees) - - AVL trees - - Splay trees - - Red/black trees - - 2-3 search trees - - 2-3-4 Trees (aka 2-4 trees) - - N-ary (K-ary, M-ary) trees - - B-Trees - - [k-D Trees](#k-d-trees) - - [Skip lists](#skip-lists) - - [Network Flows](#network-flows) - - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Math for Fast Processing](#math-for-fast-processing) - - [Treap](#treap) - - [Linear Programming](#linear-programming) - - [Geometry, Convex hull](#geometry-convex-hull) - - [Discrete math](#discrete-math) - - [Machine Learning](#machine-learning) - - [Go](#go) -- [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) -- [Video Series](#video-series) -- [Computer Science Courses](#computer-science-courses) - ---- - -## ¿Por qué usarlo? - -Estoy siguiendo este plan para prepararme para mi entrevista en Google. He estado construyendo la web, construyendo -servicios, e iniciando empresas desde 1997. Tengo un grado en economía, no un grado en ciencias de los computadores. He sido -muy exitoso en mi carrera, pero quiero trabajar en Google. Quiero progresar dentro de sistemas más grandes -y tener un entendimiento real de ciencias de los computadores, eficiencia algorítmica, rendimiento de estructuras de datos, -lenguajes de bajo nivel, y cómo todo esto funciona. Y si tú no sabes alguno de estos, Google no te contratará. - -Cuando comencé este proyecto, no sabía la diferencia entre **un stack y un heap**, no conocía la notación Big-O, nada acerca de árboles, ni cómo -cruzar una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no sería muy bueno. -Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban -realmente. Yo nunca tuve que manejar memoria a menos que un proceso que yo estaba corriendo diera un error de “out of -memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y -miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. - -Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará -meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo. - -## Cómo usarlo - -Todo lo que aparece abajo es un plan, y deberías abordar los elementos en orden de arriba a abajo. - -I'm using Github's special markdown flavor, including tasks lists to check progress. - -- [x] Create a new branch so you can check items like this, just put an x in the brackets: [x] - - - Fork a branch and follow the commands below - -`git checkout -b progress` - -`git remote add jwasham https://github.com/jwasham/google-interview-university` - -`git fetch --all` - - Mark all boxes with X after you completed your changes - -`git add . ` - -`git commit -m "Marked x" ` - -`git rebase jwasham/master ` - -`git push --force ` - -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) - -## Envuelvete en la googlemanía - -Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" (o dos) y mantente enfocado en la meta. - -[![Futuro Googler](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) - -## ¿Cómo conseguí el trabajo en Google? - -!Aun no he aplicado!. - -Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). - -Gracias a la persona que me esta recomendando, JP. - -## Sigue el progreso conmigo - -Mi breve historía: [¿Por que estudie a tiempo completo por 8 meses para una entrevista en Gooogle?](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) - -Aún sigo estudiando, sigue el progresso en: - -- **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) -- Twitter: [@googleyasheck](https://twitter.com/googleyasheck) -- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) -- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) -- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) - -![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) - -## No pienses que no eres suficientemente inteligente -- Los ingenieros de Google son inteligentes, pero muchos tienen la inseguridad de que no son suficientemente inteligentes, incluso trabajando en Google. -- [El mito del genio en programación](https://www.youtube.com/watch?v=0SARbwvhupQ) - -## Acerca de Google - -- [ ] Para Estudiantes - [Trabaja en Google: Guía de desarrollo técnico](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] Como funciona el motor de búsqueda: - - [ ] [La evolucion (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [Como funciona - Historia](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [Como funciona](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [Como funciona - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [Como Google hace mejoras en su algoritmo (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) -- [ ] Series: - - [ ] [Como Google afrontó el móvil](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [El estudio secreto de Google para averiguar lo que necesitamos](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [Google sera tu cerebro](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [La mente de Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Libro: Como funciona Google](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Hecho por Google comunicado - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) - -## Acerca de los recursos en vídeo - -Algunos vídeos estan disponibles sólo al inscribirte en Coursera, EdX o Lynda.com. Éstos se llaman MOOCs (Massive Open Online Courses, -Cursos en línea abiertos masivos). -A veces las clases no están disponibles, por lo que tienes que esperar un par de meses, lo que significa que no tienes acceso. -Los cursos de Lynda.com no son gratis. - - Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como videos de YouTube - para acompañar los videos de cursos online. - Me gusta usar recursos procedentes de universidades. - -## Prepárate para la entrevista - -- [ ] Videos: - - [ ] [Como trabajar en Google: Prepara la entrevista de ingeniero (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [Como trabajar en Google: Ejemplo de entrevista de ingeniero (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [Como trabajar en Google - Sesion de Coaching para el Candidato (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Reclutadores de Google, comparten trucos para la entrevista (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [Como trabajar en Google: Preparacion de Currículum (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] Artículos: - - [ ] [Ser un Googler en tres pasos](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [Consigue ese trabajo en Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - Todas las cosas que menciona que necesitas saber están en una lista más abajo - - [ ] _(Desactualizado)_ [Como conseguir un trabajo en Google, Preguntas de Entrevista, Processo de selección](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [Preguntas para la selección por teléfono](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) - -- [ ] Cursos de preparacion: - - [ ] [Entrevista para Ingeniero de Software al descubierto (Curso de pago)](https://www.udemy.com/software-engineer-interview-unleashed): - - Prepárate para entrevistas de Ingeniero de Software con consejos de un entrevistador de Google. - -- [ ] Adicional (No sugerido por Google, pero los añadí): - - [ ] [ABC: Programa siempre que puedas](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Cuatro pasos a Google sin tener un grado](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding (Usar una pizarra blanca)](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [Que piensa Google de contratar personas, Gestión y Cultura](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Whiteboarding efectivo durante entrevistas de programacion](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Hacer muy bien la entrevista de programación Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview con el autor Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] Como conseguir un trabajo en una de las 4 grandes: - - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/) - -## Escoge un lenguaje para la entrevista - -Escribí un articulo pequeño sobre esto: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) - -Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas son buenas elecciones: - -- C++ -- Java -- Python - -También podrías usar éstos, pero busca información primero. Puede haber advertencias: - -- JavaScript -- Ruby - -Debes sentirte muy cómodo con el lenguaje y ser experto. - -Lee más acerca de opciones: -- http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ -- http://blog.codingforinterviews.com/best-programming-language-jobs/ -- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview - -[Ve recursos de programas aquí](../programming-language-resources.md) - -Verás algunos materiales de aprendizaje de C, C++ y Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve al final. - -## Lista de libros - -Ésta es una lista más corta que la que yo usé. Está abreviada para ahorrarte tiempo. - -### Preparación para la entrevista - -- [ ] [Entrevistas de Programación Expuestas: Secretos para Conseguir tu Próximo Trabajo, 2a Edición](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - respuestas en C++ y Java - - recommendado en entrenamiento para candidato Goole - - éste es un buen calentamiento para Cracking la Entrevista de Programación - - no muy difícil, la mayoría de los problemas podrían ser más fáciles que lo que verás en una entrevista (por lo que he leído) -- [ ] [Cracking la Entrevista de Programación, 6a Edición](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - respuestas en Java - - recommendado en el [sitio de Google Careers](https://www.google.com/about/careers/how-we-hire/interview/) - - si ves personas que hacen referencia a "El Currículum Google", éste era un libro reemplazado por "Cracking la Entrevista de Programación". - -Si tienes mucho tiempo extra: - -- [ ] [Elementos de las Entrevistas de Trabajo](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - - todo el código está en C++, muy bueno si has optado por C++ en tu entrevista - - un libro sobre solución de problemas en general. - -### Computer Architecture - -If short on time: - -- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - - The book was published in 2004, and is somehat outdated, but it's a terrific resource for understanding a computer in brief. - - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. - - These chapters are worth the read to give you a nice foundation: - - Chapter 2 - Numeric Representation - - Chapter 3 - Binary Arithmetic and Bit Operations - - Chapter 4 - Floating-Point Representation - - Chapter 5 - Character Representation - - Chapter 6 - Memory Organization and Access - - Chapter 7 - Composite Data Types and Memory Objects - - Chapter 9 - CPU Architecture - - Chapter 10 - Instruction Set Architecture - - Chapter 11 - Memory Architecture and Organization - -If you have more time (I want this book): - -- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - - For a richer, more up-to-date (2011), but longer treatment - -### Language Specific - -**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. - -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the video lectures in this project**, unless you'd like a review. - -[Additional language-specific resources here.](../programming-language-resources.md) - -### C++ - -I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. - -- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) -- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) - -If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. - -### Java - -- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) - - videos with book content (and Sedgewick!): - - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) - -OR: - -- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - - by Goodrich, Tamassia, Goldwasser - - used as optional text for CS intro course at UC Berkeley - - see my book report on the Python version below. This book covers the same topics. - -### Python - -- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - - by Goodrich, Tamassia, Goldwasser - - I loved this book. It covered everything and more. - - Pythonic code - - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ - - -### Optional Books - -**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** - -- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - - As a review and problem recognition - - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. - - This book has 2 parts: - - class textbook on data structures and algorithms - - pros: - - is a good review as any algorithms textbook would be - - nice stories from his experiences solving problems in industry and academia - - code examples in C - - cons: - - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects - - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have - - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. - - algorithm catalog: - - this is the real reason you buy this book. - - about to get to this part. Will update here once I've made my way through it. - - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace - (and important) graph problems are – they should be part of every working programmer's toolkit. The book also - covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half - of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve - them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a - great way to learn how to identify hundreds of problem types." - - Can rent it on kindle - - Half.com is a great resource for textbooks at good prices. - - Answers: - - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) - - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) - - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) - -- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book." - - Half.com is a great resource for textbooks at good prices. - - aka CLR, sometimes CLRS, because Stein was late to the game - -- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) - - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but - that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - -- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - - Would rather spend time on coding problems from another book or online coding problems. - - -## Antes de que Comiences - -Esta lista creció durante muchos meses, y sí, más o menos se salió de mis manos. - -Aquí están algunos errores que cometí para que tú tengas una mejor experiencia. - -### 1. No lo Recordarás Todo - -Ví horas de videos y tomé muchas notas, y meses después había muchas cosas que no recordaba. Pasé tres días repasando -mis notas y haciendo tarjetas de memoria para así poder repasar. - -Lee por favor para que no cometas mis errores: - -[Reteniendo Conocimiento en Ciencias de la Computación](https://googleyasheck.com/retaining-computer-science-knowledge/) - -### 2. Usa Tarjetas de Memoria - -Para resolver el problema, hice un sitio para pequeñas tarjetas de memoria donde podía agregar tarjetas de 2 tipos: generales y de código. -Cada tarjeta tiene un formato diferente. - -Hice un sitio web para móviles para que pudiera revisar en mi teléfono o tableta, donde sea que estaba. - -Haz el tuyo gratis: - -- [Repositorio de sitio de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards) -- [Mi base de datos de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Toma en cuenta que yo fui muy lejos y tengo tarjetas cubriendo todo desde lenguaje ensamblador y Python trivia hasta aprendizaje de máquinas y estadística. Es mucho para lo requerido por Google. - -**Nota en tarjetas de memoria:** La primera vez que te das cuenta que conoces la respuesta, no la marques como conocida. Tienes que ver la -misma carta y responderla correctamente muchas veces antes de que realmente la conozcas. La repetición pondrá ese conocimiento más profundo en -tu cerebro. - -Una alternativa a usar mi sitio de tarjetas de memoria es [Anki](http://ankisrs.net/), el cuál me han recomendado numerosas veces. Usa un sistema de repetición que te ayuda a recordar. -Es amigable con el usuario, disponible en todas las plataformas y tiene un sistema de sincronización en la nube. Cuesta $25 USD para iOS pero es gratis para otras plataformas. - -Mi base de datos de tarjetas de memoria en formato Anki: https://ankiweb.net/shared/info/25173560 (gracias [@xiewenya](https://github.com/xiewenya)) - -### 3. Revisa, revisa, revisa - -Yo mantengo un conjunto de hojas de trucos en ASCII, pila OSI, notación Big-O, y más. Las estudio cuando tengo un poco de tiempo libre. - -Toma un descanso de problemas de programación por media hora y revisa tus tarjetas de memoria. - -### 4. Enfócate - -Hay muchas distracciones que pueden quitarte tiempo valioso. El enfoque y la concentración son difíciles. - -## Lo que no Verás Cubierto - -Esta gran lista comenzó como una lista personal de cosas por hacer hecha de notas de entrenamiento para entrevista en Google. Estas son tecnologas predominantes -pero no fueron mencionadas en esas notas. - -- SQL -- Javascript -- HTML, CSS, y otras tecnologías de front-end. - -## The Daily Plan - -Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. - -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: -- C - using structs and functions that take a struct * and something else as args. -- C++ - without using built-in types -- C++ - using built-in types, like STL's std::list for a linked list -- Python - using built-in types (to keep practicing Python) -- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements -- You may do Java or something else, this is just my thing. - -You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). - -Why code in all of these? -- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) -- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) -- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) - -I may not have time to do all of these for every subject, but I'll try. - -You can see my code here: - - [C] (https://github.com/jwasham/practice-c) - - [C++] (https://github.com/jwasham/practice-cpp) - - [Python] (https://github.com/jwasham/practice-python) - -You don't need to memorize the guts of every algorithm. - -Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. - -## Prerequisite Knowledge - -- [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. - - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little - you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - - [answers to questions](https://github.com/lekkas/c-algorithms) - -- [ ] **How computers process a program:** - - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) - - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) - -## Algorithmic complexity / Big-O / Asymptotic analysis -- nothing to implement -- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) -- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] Skiena: - - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) -- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) -- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) -- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) -- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) -- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) -- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) -- [ ] TopCoder (includes recurrence relations and master theorem): - - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) -- [ ] [Cheat sheet](http://bigocheatsheet.com/) - - - If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics videos to get the background knowledge. - -## Data Structures - -- ### Arrays - - Implement an automatically resizing vector. - - [ ] Description: - - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) - - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - - [ ] Implement a vector (mutable array with automatic resizing): - - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. - - [ ] new raw data array with allocated memory - - can allocate int array under the hood, just not use its features - - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 - - [ ] size() - number of items - - [ ] capacity() - number of items it can hold - - [ ] is_empty() - - [ ] at(index) - returns item at given index, blows up if index out of bounds - - [ ] push(item) - - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right - - [ ] prepend(item) - can use insert above at index 0 - - [ ] pop() - remove from end, return value - - [ ] delete(index) - delete item at index, shifting all trailing elements left - - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) - - [ ] find(item) - looks for value and returns first index with that value, -1 if not found - - [ ] resize(new_capacity) // private function - - when you reach capacity, resize to double the size - - when popping an item, if size is 1/4 of capacity, resize to half - - [ ] Time - - O(1) to add/remove at end (amortized for allocations for more space), index, or update - - O(n) to insert/remove elsewhere - - [ ] Space - - contiguous in memory, so proximity helps performance - - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) - -- ### Linked Lists - - [ ] Description: - - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole video, just portions about Node struct and memory allocation. - - [ ] Linked List vs Arrays: - - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - - [ ] Gotcha: you need pointer to pointer knowledge: - (for when you pass a pointer to a function that may change the address where that pointer points) - This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. - - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - - [ ] implement (I did with tail pointer & without): - - [ ] size() - returns number of data elements in list - - [ ] empty() - bool returns true if empty - - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) - - [ ] push_front(value) - adds an item to the front of the list - - [ ] pop_front() - remove front item and return its value - - [ ] push_back(value) - adds an item at the end - - [ ] pop_back() - removes end item and returns its value - - [ ] front() - get value of front item - - [ ] back() - get value of end item - - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - - [ ] erase(index) - removes node at given index - - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - - [ ] reverse() - reverses the list - - [ ] remove_value(value) - removes the first item in the list with this value - - [ ] Doubly-linked List - - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No need to implement - -- ### Stack - - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - - [ ] Will not implement. Implementing with array is trivial. - -- ### Queue - - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) - - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - - [ ] Implement using linked-list, with tail pointer: - - enqueue(value) - adds value at position at tail - - dequeue() - returns value and removes least recently added element (front) - - empty() - - [ ] Implement using fixed-sized array: - - enqueue(value) - adds item at end of available storage - - dequeue() - returns value and removes least recently added element - - empty() - - full() - - [ ] Cost: - - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) - because you'd need the next to last element, causing a full traversal each dequeue - - enqueue: O(1) (amortized, linked list and array [probing]) - - dequeue: O(1) (linked list and array) - - empty: O(1) (linked list and array) - -- ### Hash table - - [ ] Videos: - - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) - - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - - - [ ] Online Courses: - - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) - - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) - - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) - - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - - [ ] distributed hash tables: - - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - - [ ] implement with array using linear probing - - hash(k, m) - m is size of hash table - - add(key, value) - if key already exists, update value - - exists(key) - - get(key) - - remove(key) - -## Para saber más - -- ### Búsqueda binaria - - [ ] [Búsqueda binaria (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Búsqueda binaria (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - - [ ] [Detalle](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implementacion: - - Búsqueda binaria (En arrays de enteros ordenados) - - Búsqueda binaria con recursividad - -- ### Operaciones bit a bit - - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Entiende como manipular bits perfectamente con: &, |, ^, ~, >>, << - - [ ] [Palabras](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Buena introduccion: - [Manipulacion de bits (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [Tutorial de programacion en C 2-10: Operadores bit a bit (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - - [ ] [Manipulacion de bits](https://en.wikipedia.org/wiki/Bit_manipulation) - - [ ] [Operacion bit a bit](https://en.wikipedia.org/wiki/Bitwise_operation) - - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - - [ ] [El manipulador de Bits](http://bits.stephan-brumme.com/) - - [ ] [El manipulador de bits interactivo](http://bits.stephan-brumme.com/interactive.html) - - [ ] Complementos de a 2 y de a 1 - - [Binario: Mas y Menos (Porqué utilizamos el complemento a 2) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - - [Complemento a 1](https://en.wikipedia.org/wiki/Ones%27_complement) - - [Complemento a 2](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] Contar bits activados - - [$ maneras de contar bits en un byte (video)](https://youtu.be/Hzuzo9NJrlc) - - [Contar bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - - [Como contar los bits activados en un entero de 32 bits](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] Redondear a la siguiente potencia de 2: - - [Redondear a la siguiente potencia de 2](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] Intercambiar valores: - - [Intercambio](http://bits.stephan-brumme.com/swap.html) - - [ ] Valor absoluto: - - [Entero absoluto](http://bits.stephan-brumme.com/absInteger.html) - -## Trees - -- ### Trees - Notes & Background - - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - basic tree construction - - traversal - - manipulation algorithms - - BFS (breadth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - level order (BFS, using queue) - time complexity: O(n) - space complexity: best: O(1), worst: O(n/2)=O(n) - - DFS (depth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - - notes: - time complexity: O(n) - space complexity: - best: O(log n) - avg. height of tree - worst: O(n) - - inorder (DFS: left, self, right) - - postorder (DFS: left, right, self) - - preorder (DFS: self, left, right) - -- ### Binary search trees: BSTs - - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - - starts with symbol table and goes through BST applications - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) - - C/C++: - - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) - - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) - - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) - - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) - - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] Implement: - - [ ] insert // insert value into tree - - [ ] get_node_count // get count of values stored - - [ ] print_values // prints the values in the tree, from min to max - - [ ] delete_tree - - [ ] is_in_tree // returns true if given value exists in the tree - - [ ] get_height // returns the height in nodes (single node's height is 1) - - [ ] get_min // returns the minimum value stored in the tree - - [ ] get_max // returns the maximum value stored in the tree - - [ ] is_binary_search_tree - - [ ] delete_value - - [ ] get_successor // returns next-highest value in tree after given value, -1 if none - -- ### Heap / Priority Queue / Binary Heap - - visualized as a tree, but is usually linear in storage (array, linked list) - - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) - - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) - - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) - - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) - - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) - - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) - - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) - - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) - - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) - - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - - [ ] Implement a max-heap: - - [ ] insert - - [ ] sift_up - needed for insert - - [ ] get_max - returns the max item, without removing it - - [ ] get_size() - return number of elements stored - - [ ] is_empty() - returns true if heap contains no elements - - [ ] extract_max - returns the max item, removing it - - [ ] sift_down - needed for extract_max - - [ ] remove(i) - removes item at index x - - [ ] heapify - create a heap from an array of elements, needed for heap_sort - - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). - -## Sorting - -- [ ] Notes: - - Implement sorts & know best case/worst case, average complexity of each: - - no bubble sort - it's terrible - O(n^2), except when n <= 16 - - [ ] stability in sorting algorithms ("Is Quicksort stable?") - - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) - - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) - - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) - - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) - - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? - - I wouldn't recommend sorting a linked list, but merge sort is doable. - - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) - -- For heapsort, see Heap data structure above. Heap sort is great, but not stable. - -- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) - - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) - - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - -- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - -- [ ] UC Berkeley: - - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) - - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) - - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) - - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) - -- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) -- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) -- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) -- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) -- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) -- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) -- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) - -- [ ] Merge sort code: - - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) - - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) - - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) -- [ ] Quick sort code: - - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) - - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) - -- [ ] Implement: - - [ ] Mergesort: O(n log n) average and worst case - - [ ] Quicksort O(n log n) average case - - Selection sort and insertion sort are both O(n^2) average and worst case - - For heapsort, see Heap data structure above. - -- [ ] Not required, but I recommended them: - - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) - - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) - - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) - - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) - - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) - - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) - -If you need more detail on this subject, see "Sorting" section in [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) - -## Graphs - -Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. - -- Notes from Yegge: - - There are three basic ways to represent a graph in memory: - - objects and pointers - - matrix - - adjacency list - - Familiarize yourself with each representation and its pros & cons - - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - - When asked a question, look for a graph-based solution first, then move on if none. - -- [ ] Skiena Lectures - great intro: - - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) - - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - -- [ ] Graphs (review and more): - - - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) - - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) - - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) - - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) - - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) - - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) - - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) - - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) - -- Full Coursera Course: - - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - -- Yegge: If you get a chance, try to study up on fancier algorithms: - - [ ] Dijkstra's algorithm - see above - 6.006 - - [ ] A* - - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - -- I'll implement: - - [ ] DFS with adjacency list (recursive) - - [ ] DFS with adjacency list (iterative with stack) - - [ ] DFS with adjacency matrix (recursive) - - [ ] DFS with adjacency matrix (iterative with stack) - - [ ] BFS with adjacency list - - [ ] BFS with adjacency matrix - - [ ] single-source shortest path (Dijkstra) - - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni videos above): - - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - - [ ] topological sort - - [ ] count connected components in a graph - - [ ] list strongly connected components - - [ ] check for bipartite graph - -You'll get more graph practice in Skiena's book (see Books section below) and the interview books - -## Aún más conocimiento - -- ### Recursividad - - [ ] Artículos de Stanford acerca de recursividad y backtracking: - - [ ] [Artículo 8 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Artículo 9 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Artículo 10 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Artículo 11 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - Cuando es apropiado usarla - - Recursividad de cola - - [ ] [Que es recursividad de cola Por qué es tan mala?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Recursividad de cola (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - -- ### Programacion orientada a objetos - - [ ] [Opcional: UML 2.0 (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Ingeniería de Software orientada a objetos (OOSE): Desarrollo de Software usando UML y Java (21 videos): - - Puedes obviar esto si tienes un buen conocimiento de prácticas de diseño de POO. - - [OOSE: Desarrollo de Software usando UML y Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] Principios SOLID de Desarrollo de Software: - - [ ] [Principios SOLID en diseño ágil y orientado a objetos, por Bob Martin (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [Patrones de diseño SOLID en C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [Principios SOLID (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - - [ ] S - [Single Responsibility Principle (Principio de responsabilidad única)](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - - [Para saber más](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principle (Principio de abierto/cerrado)](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - - [ ] L - [Liskov Substitution Principle (Principio de sustitucion de Liskov)](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle (Principio de segregacion de interfaces)](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Principio de segregacion de interfaces en 5 minutos (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle ()Principio de Inversion de Dependencia](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - - [Qué es el principio de inversion de dependencia y por qué es importante?](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - -- ### Patrones de diseño - - [ ] [Breve repaso de UML (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Apréndete estos patrones: - - [ ] strategy - - [ ] singleton - - [ ] adapter - - [ ] prototype - - [ ] decorator - - [ ] visitor - - [ ] factory, abstract factory - - [ ] facade - - [ ] observer - - [ ] proxy - - [ ] delegate - - [ ] command - - [ ] state - - [ ] memento - - [ ] iterator - - [ ] composite - - [ ] flyweight - - [ ] [Capítulo 6 (Parte 1) - Patrones (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Capítulo 6 (Parte 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Capítulo 6 (Parte 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Series de videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - - [ ] [Patrones Head First](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - Sé que "Design Patterns: Elements of Reusable Object-Oriented Software" es el libro más relevante, pero "Head First" esta muy bien para los que empiezan con POO - - [ ] [Link interesante: 101 Patrones de diseno & Trucos para desarrolladores](https://sourcemaking.com/design-patterns-and-tips) - -- ### Combinatoria (n en k) & Probabilidad - - [ ] [Habilidades matemáticas: Factoriales, Permutaciones y Combinaciones (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Probabilidad (un video de Make School)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [More Probability and Markov Chains (un video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - - [ ] Khan Academy: - - Estructura del curso: - - [ ] [Probabilidad teórica básica](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Solo los 41 videos - (Son simples y cortos): - - [ ] [Probabilidad Explicación (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - -- ### NP, NP-Completo and Algoritmos de aproximación - - Conocer los problemas NP-Completo más famosos, como el problema del viajante o el de la mochila, y ser capaz de - reconocerlos cuando un entrevistador pregunta por ellos disimuladamente. - - Saber que es y en que consiste un problema NP-Completo. - - [ ] [Complejidad Computacional (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - - [ ] Simonson: - - [ ] [Algoritmos voraces II & Introducción a NP-Completo (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP-Completo II & Reducciones (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP-Completo III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP-Completo IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) - - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introducción a NP-Completo (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - Demostrar problemas NP-Completo (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - Problema NP-Completo (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complejidad: P, NP, NP-completo, Reducciones (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complejidad: Algoritmos de aproximación (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complejidad: Algoritmos de parámetro fijo (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvik habla sobre soluciones casi óptimas para el problema del viajante: - - [Cuaderno Jupyter](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Páginas 1048 - 1140 de [CLRS](https://en.wikipedia.org/wiki/Introduction_to_Algorithms) si lo tienes a mano. - -- ### Memoria Caché - - [ ] Menos usado recientemente (LRU): - - [ ] [La magia de la caché LRU (100 días de desarrollador de Google) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementando LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 Caché LRU (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - - [ ] Caché de la CPU: - - [ ] [MIT 6.004 L15: La jerarquía de la memoria (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Caché - Problemas y situaciones (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- ### Hilos y procesos - - [ ] Ciencias de la computación 162 - Sistemas operativos (25 videos): - - Para hilos y procesos ver los videos 1-11 - - [Sistemas Operativos y Programación de Sistemas (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - - [Cuál es la diferencia entre un proceso y un hilo?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Cubre / Abarca: - - Procesos, hilos y Concurrencia - - Diferencia entre hilos y procesos - - Procesos - - Hilos - - Bloqueos - - Mutexes (Cierre de exclusión mutua) - - Semáforos - - Monitores de concurrencia - - Como funcionan - - Deadlock (Bloqueo mutuo) - - Livelock (Bloqueo mutuo, variante de deadlock) - - Actividad de la CPU, Interrupciones, cambios de contexto - - Concurrencia moderna con procesadores multi núcleo - - Demanda de recursos de un proceso (memoria: Códigos, almacenamiento estático, stack, heap, descriptores de archivo e I/O (Entrada / Salida)) - - Demanda de recursos de los hilos (Comparte los anteriores, a excepción de stack, con otros hilos en el mismo proceso, pero cada uno tiene su propio contador de programa, contador de stack, registros, y stack) - - Forking realmente es copia en escritura (read-only) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa. - - Cambio de contextos - - Como se inicia el cambio de contexto por el sistema operativo y el hardware que hay debajo - - [ ] [Hilos en C++ (Serie - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] Concurrencia en Python (videos): - - [ ] [Series pequeñas acerca de hilos](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - - [ ] [Hilos en Python](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - - [ ] [Entendiendo GIL en Python (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) - - [Referencia](http://www.dabeaz.com/GIL) - - [ ] [David Beazley - Concurrencia en Python desde el principio: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) - - [ ] [Keynote David Beazley - Temas interesantes (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - - [ ] [Mutex en Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - -- ### Artículos y publicaciones - - Estos provienen de Google y otros muy conocidos. - - Leerlos de principio a fin, tratando de comprenderlos complementamente, quizás te lleve más tiempo del que puedas disponer. Te recomiendo que seas selectivo con los artículos y sus secciones. - - [ ] [1978: Comunicación en procesos secuenciales](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - - [Implementación en GO](https://godoc.org/github.com/thomas11/csp) - - [Te gustan los artículos clásicos?](https://www.cs.cmu.edu/~crary/819-f09/) - - [ ] [2003: El sistema de archivos de Google](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - Reemplazado por Colossus en 2012 - - [ ] [2004: MapReduce: Procesamiento de datos simplificado en grandes clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - casi reemplazado por Cloud Dataflow? - - [ ] [2007: Lo que cualquier programador debe saber acerca de la memoria (bastante extenso, el autor recomienda saltarse algunas secciones)](https://www.akkadia.org/drepper/cpumemory.pdf) - - [ ] [2012: Colossus de Google](https://www.wired.com/2012/07/google-colossus/) - - Publicaciones no disponible - - [ ] 2012: AddressSanitizer: Un sanity check muy rápido para direcciones: - - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [Video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - - [ ] 2013: Spanner: La base de datos distribuida de Google: - - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [Video](https://www.usenix.org/node/170855) - - [ ] [2014: Machine Learning: El alto tipo de interés de la deuda tecnológica (The High-Interest Credit Card of Technical Debt)](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - - [ ] [2015: Líneas de ejecución continuas en Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - - [ ] [2015: Alta disponibilidad a gran escala: Construyendo la infraestructura de datos para los anuncios y publicidad de Google](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) - - [ ] [2015: TensorFlow: Machine Learning a gran escala en sistemas distribuidos heterogéneos](http://download.tensorflow.org/paper/whitepaper2015.pdf ) - - [ ] [2015: Como los desarrolladores buscan código: Un caso de estudio](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - - [ ] [2016: Borg, Omega, y Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - -- ### Testing - - Abarcar / Cubrir: - - Como funciona el testing - - Que son mocks de objetos - - Que son tests de integracion - - Que es inyección de dependencias - - [ ] [Testing de Software Ágil con James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Artículo de James Bach acerca de Testing de Software (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Desarrollo conducido por tests (Test-Driven Development, TDD) - Eso no fue lo que quisimos decir (video)](https://vimeo.com/83960706) - - [Diapositivas](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - - [ ] [TDD está muerto. Larga vida al testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [TDD está muerto? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [Series (152 videos) - No todos son necesarios (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - - [ ] [TDD para Web con Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Inyeccion de dependencias: - - [ ] [Video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - - [ ] [Tao del Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - - [ ] [Como escribir tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - -- ### Planificador - - En el sistema operativo, como funciona - - Puede ser extraído de videos acerca de sistemas operativos - -- ### Implementar rutinas del sistema - - Entender que hay debajo de las APIs de programación que utilizas - - Las puedes implementar? - -- ### Búsqueda de strings y manipulación - - [ ] [Sedgewick - Array de sufijos (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Búsqueda de substrings (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [1. Introducción a la búsqueda de substrings](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [2. Búsqueda de substrings por fuerza bruta](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) - - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Búsqueda en texto por patrón (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - - Si necesitas más detalles acerca de este tema, ve a la sección "String Matching" en [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) - ---- - -## System Design, Scalability, Data Handling -- **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. - Expect to spend quite a bit of time on this. -- Considerations from Yegge: - - scalability - - Distill large data sets to single values - - Transform one data set to another - - Handling obscenely large amounts of data - - system design - - features sets - - interfaces - - class hierarchies - - designing a system under certain constraints - - simplicity and robustness - - tradeoffs - - performance analysis and optimization -- [ ] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) -- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) -- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) -- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) -- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) -- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. -- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) -- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) -- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) -- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) -- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) -- [ ] Paxos Consensus algorithm: - - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) - - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) -- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) -- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) -- [ ] Scalability: - - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - - [ ] Short series: - - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) - - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) - - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) - - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) - - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) - - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) - - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) - - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) - - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) - - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) - - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) - - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) - - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) - - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) - - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) - - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) - - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) - - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) - - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) - - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) - - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) - - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) - - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) - - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) - - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) - - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) - - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html) - - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) - - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) - - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) - - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) - - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) - - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) - - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) - - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) - - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) - - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) - - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together - - [ ] Twitter: - - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. -- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - - flow: - 1. Understand the problem and scope: - - define the use cases, with interviewer's help - - suggest additional features - - remove items that interviewer deems out of scope - - assume high availability is required, add as a use case - 2. Think about constraints: - - ask how many requests per month - - ask how many requests per second (they may volunteer it or make you do the math) - - estimate reads vs. writes percentage - - keep 80/20 rule in mind when estimating - - how much data written per second - - total storage required over 5 years - - how much data read per second - 3. Abstract design: - - layers (service, data, caching) - - infrastructure: load balancing, messaging - - rough overview of any key algorithm that drives the service - - consider bottlenecks and determine solutions - - Exercises: - - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) - - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) - - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) - - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) - - [Design a function to return the top k requests during past time interval]( https://icmi.cs.ucsb.edu/research/tech_reports/reports/2005-23.pdf) - - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) - - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) - - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) - - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) - ---- - -## Final Review - - This section will have shorter videos that can you watch pretty quickly to review most of the important concepts. - It's nice if you want a refresher often. - -- [ ] Series of 2-3 minutes short subject videos (23 videos) - - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): - - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) -- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) - - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) - - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) - - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) - - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) - - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) - - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) - - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) -- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) - - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) - - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) - - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) - - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) - - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) - - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) - - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) - - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) - - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) - - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) - ---- - -## Coding Question Practice - -Now that you know all the computer science topics above, it's time to practice answering coding problems. - -**Coding question practice is not about memorizing answers to programming problems.** - -Why you need to practice doing programming problems: -- problem recognition, and where the right data structures and algorithms fit in -- gathering requirements for the problem -- talking your way through the problem like you will in the interview -- coding on a whiteboard or paper, not a computer -- coming up with time and space complexity for your solutions -- testing your solutions - -There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview books, too, but I found this outstanding: -[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) - -[My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/) - -No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a -large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". -I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. - -![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) - -Supplemental: - -- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) -- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) -- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) -- [Exercises for getting better at a given language](http://exercism.io/languages) - -**Read and Do Programming Problems (in this order):** - -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C, C++ and Java -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - -See [Book List above](#book-list) - -## Coding exercises/challenges - -Once you've learned your brains out, put those brains to work. -Take coding challenges every day, as many as you can. - -- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) -- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) - -Challenge sites: -- [LeetCode](https://leetcode.com/) -- [TopCoder](https://www.topcoder.com/) -- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) -- [Codewars](http://www.codewars.com) -- [HackerRank](https://www.hackerrank.com/) -- [Codility](https://codility.com/programmers/) -- [InterviewCake](https://www.interviewcake.com/) -- [Geeks for Geeks](http://www.geeksforgeeks.org/) -- [InterviewBit](https://www.interviewbit.com/invite/icjf) - -Maybe: -- [Mock interviewers from big companies](http://www.gainlo.co/) - -## Once you're closer to the interview - -- [ ] Cracking The Coding Interview Set 2 (videos): - - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) - -## Your Resume - -- [Ten Tips for a (Slightly) Less Awful Resume](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html) -- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed - - -## Be thinking of for when the interview comes - -Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. -Have a story, not just data, about something you accomplished. - -- Why do you want this job? -- What's a tough problem you've solved? -- Biggest challenges faced? -- Best/worst designs seen? -- Ideas for improving an existing Google product. -- How do you work best, as an individual and as part of a team? -- Which of your skills or experiences would be assets in the role and why? -- What did you most enjoy at [job x / project y]? -- What was the biggest challenge you faced at [job x / project y]? -- What was the hardest bug you faced at [job x / project y]? -- What did you learn at [job x / project y]? -- What would you have done better at [job x / project y]? - -## Have questions for the interviewer - - Some of mine (I already may know answer to but want their opinion or team perspective): - -- How large is your team? -- What does your dev cycle look like? Do you do waterfall/sprints/agile? -- Are rushes to deadlines common? Or is there flexibility? -- How are decisions made in your team? -- How many meetings do you have per week? -- Do you feel your work environment helps you concentrate? -- What are you working on? -- What do you like about it? -- What is the work life like? - -## Once You've Got The Job - -Congratulations! - -- [10 things I wish I knew on my first day at Google](https://medium.com/@moonstorming/10-things-i-wish-i-knew-on-my-first-day-at-google-107581d87286#.livxn7clw) - -Keep learning. - -You're never really done. - ---- - - ***************************************************************************************************** - ***************************************************************************************************** - - Everything below this point is optional. These are my recommendations, not Google's. - By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for - any software engineering job. You'll be a much more well-rounded software engineer. - - ***************************************************************************************************** - ***************************************************************************************************** - ---- - -## Additional Books - -- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - - an oldie but a goodie -- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) - - a modern option -- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) -- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) - - a gentle introduction to design patterns -- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - - aka the "Gang Of Four" book, or GOF - - the canonical design patterns book -- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html) - - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/) -- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) - -## Additional Learning - -- ### Dynamic Programming - - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - - [ ] Videos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - - [ ] List of individual DP problems (each is short): - [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - - [ ] Yale Lecture notes: - - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - - [ ] Coursera: - - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) - - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) - - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) - - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) - - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) - -- ### Compilers - - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) - -- ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) - -- ### Unicode - - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) - -- ### Endianness - - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. - -- ### Emacs and vi(m) - - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor - - vi(m): - - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - - [VIM Adventures](http://vim-adventures.com/) - - set of 4 videos: - - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) - - emacs: - - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (videos): - - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) - - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) - - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - -- ### Unix command line tools - - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. - - [ ] bash - - [ ] cat - - [ ] grep - - [ ] sed - - [ ] awk - - [ ] curl or wget - - [ ] sort - - [ ] tr - - [ ] uniq - - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) - -- ### Information theory (videos) - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - - [ ] more about Markov processes: - - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) - - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) - - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - - See more in MIT 6.050J Information and Entropy series below. - -- ### Parity & Hamming Code (videos) - - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - - [ ] Hamming Code: - - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc) - - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - -- ### Entropy - - also see videos below - - make sure to watch information theory videos first - - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) - -- ### Cryptography - - also see videos below - - make sure to watch information theory videos first - - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- ### Compression - - make sure to watch information theory videos first - - [ ] Computerphile (videos): - - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) - - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) - - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) - - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) - - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) - - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) - - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - -- ### Computer Security - - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) - - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) - - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - -- ### Parallel Programming - - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) - -- ### Messaging, Serialization, and Queueing Systems - - [ ] [Thrift](https://thrift.apache.org/) - - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) - - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) - - [ ] [gRPC](http://www.grpc.io/) - - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) - - [ ] [Redis](http://redis.io/) - - [Tutorial](http://try.redis.io/) - - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) - - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/) - - [ ] [RabbitMQ](https://www.rabbitmq.com/) - - [Get Startet](https://www.rabbitmq.com/getstarted.html) - - [ ] [Celery](http://www.celeryproject.org/) - - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) - - [ ] [ZeroMQ](http://zeromq.org/) - - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) - - [ ] [ActiveMQ](http://activemq.apache.org/) - - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction) - - [ ] [MessagePack](http://msgpack.org/index.html) - - [ ] [Avro](https://avro.apache.org/) - -- ### Fast Fourier Transform - - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) - - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) - -- ### Bloom Filter - - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) - - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) - - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) - - [Tutorial](http://billmill.org/bloomfilter-tutorial/) - - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) - -- ### HyperLogLog - - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) - -- ### Locality-Sensitive Hashing - - used to determine the similarity of documents - - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. - - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) - -- ### van Emde Boas Trees - - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - -- ### Augmented Data Structures - - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) - -- ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: - - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - -- ### Balanced search trees - - Know least one type of balanced binary tree (and know how it's implemented): - - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. - A particularly interesting self-organizing data structure is the splay tree, which uses rotations - to move any accessed key to the root." - Skiena - - Of these, I chose to implement a splay tree. From what I've read, you won't implement a - balanced search tree in your interview. But I wanted exposure to coding one up - and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. - - splay tree: insert, search, delete functions - If you end up implementing red/black tree try just these: - - search and insertion functions, skipping delete - - I want to learn more about B-Tree since it's used so widely with very large data sets. - - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - - [ ] **AVL trees** - - In practice: - From what I can tell, these aren't used much in practice, but I could see where they would be: - The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly - balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it - attractive for data structures that may be built once and loaded without reconstruction, such as language - dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). - - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - - - [ ] **Splay trees** - - In practice: - Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, - data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, - networking and file system code) etc. - - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - - [ ] MIT Lecture: Splay Trees: - - Gets very mathy, but watch the last 10 minutes for sure. - - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - - - [ ] **Red/black trees** - - these are a translation of a 2-3 tree (see below) - - In practice: - Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. - Not only does this make them valuable in time-sensitive applications such as real-time applications, - but it makes them valuable building blocks in other data structures which provide worst-case guarantees; - for example, many data structures used in computational geometry can be based on red–black trees, and - the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, - the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor - hashcodes, a Red-Black tree is used. - - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) - - - [ ] **2-3 search trees** - - In practice: - 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. - - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - - [ ] **2-3-4 Trees (aka 2-4 trees)** - - In practice: - For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion - operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an - important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce - 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. - - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - - - [ ] **N-ary (K-ary, M-ary) trees** - - note: the N or K is the branching factor (max branches) - - binary trees are a 2-ary tree, with branching factor = 2 - - 2-3 trees are 3-ary - - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - - - [ ] **B-Trees** - - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) - - In Practice: - B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to - its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary - block in a particular file. The basic problem is turning the file block i address into a disk block - (or perhaps to a cylinder-head-sector) address. - - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - covers cache-oblivious B-Trees, very interesting data structures - - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) - - -- ### k-D Trees - - great for finding number of points in a rectangle or higher dimension object - - a good fit for k-nearest neighbors - - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) - -- ### Skip lists - - "These are somewhat of a cult data structure" - Skiena - - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) - -- ### Network Flows - - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) - -- ### Disjoint Sets & Union Find - - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - -- ### Math for Fast Processing - - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) - -- ### Treap - - Combination of a binary search tree and a heap - - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) - -- ### Linear Programming (videos) - - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) - -- ### Geometry, Convex hull (videos) - - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - -- ### Discrete math - - see videos below - -- ### Machine Learning - - [ ] Why ML? - - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) - - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) - - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) - - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - - Courses: - - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) - - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) - - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - - Resources: - - Books: - - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) - - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) - - Data School: http://www.dataschool.io/ - -- ### Go - - [ ] Videos: - - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) - - [ ] Books: - - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro) - - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440) - - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp) - --- - -## Información adicional en algunos temas - - I added these to reinforce some ideas already presented above, but didn't want to include them - above because it's just too much. It's easy to overdo it on a subject. - You want to get hired in this century, right? - -- [ ] **Union-Find** - - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) - - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) - - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) - - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank) - - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) - - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) - -- [ ] **More Dynamic Programming** (videos) - - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) - - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) - - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) - - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) - - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) - -- [ ] **Advanced Graph Processing** (videos) - - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) - -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): - - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) - - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) - -- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) - -- [ ] **String Matching** - - [ ] Rabin-Karp (videos): - - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) - - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) - - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) - - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) - - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) - - [ ] Knuth-Morris-Pratt (KMP): - - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) - - [ ] Boyer–Moore string search algorithm - - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) - - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - - nice explanation of tries - - can be skipped - -- [ ] **Sorting** - - - [ ] Stanford lectures on sorting: - - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) - - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) - - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): - - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) - - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) - - [ ] Steven Skiena lectures on sorting: - - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) - - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) - -## Video Series - -Sit back and enjoy. "Netflix and skill" :P - -- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - -- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) - -- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) - -- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) - -- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) - -- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) - -- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) - -- [ ] CSE373 - Analysis of Algorithms (25 videos) - - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) - -- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - -- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) - -- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) - -- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - -- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) - -- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) - -- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) - -- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) - -- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) - -- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) - -- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) - -- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) - -- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) - -- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) - -- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) - -- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) - -- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) - -- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) - -## Computer Science Courses - -- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) -- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - diff --git a/translations/ar/README.md b/translations/README_ar.md similarity index 100% rename from translations/ar/README.md rename to translations/README_ar.md diff --git a/translations/cn/README.md b/translations/README_cn.md similarity index 100% rename from translations/cn/README.md rename to translations/README_cn.md diff --git a/translations/es/README.md b/translations/README_es.md similarity index 96% rename from translations/es/README.md rename to translations/README_es.md index 3f2ef095c1..96ce20cc0e 100644 --- a/translations/es/README.md +++ b/translations/README_es.md @@ -2,7 +2,7 @@ - Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon!](src/AdquiridoAmazon.md) +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon!(Art. Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. @@ -88,8 +88,8 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Grafos](#grafos) - Dirigidos - No dirigidos - - Matriz de adyacencia - - Lista de adyacencia + - Matriz de adyacencia + - Lista de adyacencia - Recorridos: BFS, DFS - [Más información adicional](#más-información-adicional) - [Recursión](#recursión) @@ -172,7 +172,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, Cuando comencé este proyecto, no sabía la diferencia entre un stack y un heap, no conocía la notación Big-O, nada acerca de árboles, ni cómo sacar la transversal de una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no hubiera sido muy bueno. Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban realmente. Yo nunca tuve que manejar la memoria a menos que un proceso que yo estaba corriendo diera un error de “out of memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. -Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de esto te resulta familiar entonces te tomará mucho menos tiempo. +Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de esto te resulta familiar entonces te tomará mucho menos tiempo. Es un plan largo, puede tome unos meses; pero si le resulta familiar mucho de esto le tomara mucho menos tiempo. @@ -215,7 +215,7 @@ Algunos videos solo están disponibles inscribiéndose a una clase de Coursera, En ocasiones las clases no están en sesión por lo que tendrá que esperar un par de meses, por lo que no tiene acceso. Los cursos de Lynda.com no son gratuitos. Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. - + Me gustan recursos provenientes de universidades. @@ -233,8 +233,8 @@ Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuita - [ ] Prep Course: - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - Aprenda como alistarse para una entrevista de Ingeniería de Software con un entrevistador de Google. - - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): - - Un curso enfocado a una entrevista centrada en Python; que cubre estructuras de datos, algoritmos, plantillas de entrevistas y mucho más. + - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): + - Un curso enfocado a una entrevista centrada en Python; que cubre estructuras de datos, algoritmos, plantillas de entrevistas y mucho más. ## Escoja un lenguaje para la entrevista @@ -244,7 +244,7 @@ Puede usar un lenguaje con el que este cómodo para hacer la parte de código pa - Java - Python -También podrías usar éstos, pero busca información primero. Puede haber advertencias: +También podrías usar éstos, pero busca información primero. Puede haber advertencias: - JavaScript - Ruby @@ -437,20 +437,20 @@ Estas son tecnologías predominantes, pero no están cubiertas por este plan de ## El plan diario -Algunos temas tomarán un día y otros tomarán varios. Algunos son solo para aprender sin nada que implementar. +Algunos temas tomarán un día y otros tomarán varios. Algunos son solo para aprender sin nada que implementar. Cada día yo tomé un tema de los siguientes, vi videos sobre el tema y escribía una implementación: -- C - usando estructuras y funciones que toman una estructura * y otra cosa como argumentos. +- C - usando estructuras y funciones que toman una estructura * y otra cosa como argumentos. - C++ - sin utilizar tipos incorporados -- C++ - usando tipos incorporados, como std::list de STL para una lista enlazada +- C++ - usando tipos incorporados, como std::list de STL para una lista enlazada - Python - usando tipos incorporados (para seguir practicando Python) - y escribir pruebas para asegurarme de que lo estoy haciendo bien, a veces simplemente usando simples declaraciones assert() - Puede hacer Java o algo más, esto es solo lo mío. No necesita todo esto. Solo necesita [un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista). -¿Por qué codificar en todo esto? +¿Por qué codificar en todo esto? - Práctica, práctica, práctica… hasta que me canse de ello y pueda hacerlo sin ningún problema (algunos usan técnicas y marcadores para recordar) - Trabajar dentro de las restricciones primarias (asignar / liberar memoria sin ayuda del garbage collection (excepto Python)) - Hacer uso de los tipos incorporados para que tenga experiencia usando las herramientas de tipos incorporados para su uso en el mundo real (no escribiré mi propia implementación de listas enlazadas en producción) @@ -466,7 +466,7 @@ No es necesario recordar las entrañas de cada algoritmo. Escriba código en un pizarrón o en papel no en la computadora. Pruebe con alguna entrada de prueba. Después pruébelos en la computadora. -## Conocimientos Previos +## Conocimientos Previos - [ ] **Aprenda C** - C esta en todos lados. Verá ejemplos en libros, lecturas, videos, *en todo lugar* mientras esté estudiando. @@ -517,30 +517,30 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] Implemente un vector (Arreglo mutable con redimensionamiento automático): - [ ] Practique codificar usando arreglos y apuntadores, y un apuntador matemático para saltar a un índice en lugar de utilizar la indexación. - [ ] Nueva arreglo de información primaria con memoria asignada - - Puede asignar un arreglo entero, simplemente no use sus características + - Puede asignar un arreglo entero, simplemente no use sus características - Empiece con 16, o si el número inicial es mayor, use potencias del 2 - 16, 32, 64, 128 - [ ] size() – Número de elementos - [ ] capacity() – Número de elementos soportados - [ ] is_empty() - - [ ] at(index) – Regresa el elemento al índice dado, falla si el índice esta fuera de sus limites + - [ ] at(index) – Regresa el elemento al índice dado, falla si el índice esta fuera de sus limites - [ ] push(item) - [ ] insert(index, item) – Inserta el elemento en el índice, intercambia el valor del índice y desplaza los elementos a la derecha - [ ] prepend(item) – Puede usar para insertar encima del índice 0 - [ ] pop() – Elimina del final, regresa el valor - [ ] delete(index) – Elimina el elemento en el índice, intercambia todos desplazándolos a la izquierda - - [ ] remove(item) – Busca el valor y elimina el índice lo contiene(aunque este en varios lugares) + - [ ] remove(item) – Busca el valor y elimina el índice lo contiene(aunque este en varios lugares) - [ ] find(item) – Busca el valor y regresa el primer índice con ese valor, -1 si no encuentra - [ ] resize(Nueva capacidad) // Función privada - Cuando alcance el límite, redimensiona al doble el tamaño - Cuando se haga “pop” a un elemento, si el tamaño es 1/4 de la capacidad, redimensiona a la mitad - [ ] Tiempo - O(1) Para añadir/eliminar al final (Amortizado para asignaciones por más espacio), índice o actualización - - O(n) Para insertar/eliminar donde sea + - O(n) Para insertar/eliminar donde sea - [ ] Espacio - Contiguo en la memoria, por lo que la proximidad ayuda al rendimiento - Espacio necesario = (capacidad de matriz, que es> = n) * tamaño del elemento, pero incluso si 2n, todavía O (n)) -- ### Listas Enlazadas +- ### Listas Enlazadas - [ ] Descripción: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) @@ -558,20 +558,20 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] size() – Regresa el número de elementos en la lista - [ ] empty() – Un bool que regresa verdadero si está vacío - [ ] value_at(index) – Regresa el valor del el n-avo elemento (iniciando con el 0 como primero) - - [ ] push_front(value) – Añade un elemento al frente de la lista - - [ ] pop_front() – Elimina el elemento frontal y regresa su valor - - [ ] push_back(value) – Añade un elemento al final - - [ ] pop_back() – Elimina el último elemento y devuelve su valor - - [ ] front() – Obtiene el valor del elemento frontal + - [ ] push_front(value) – Añade un elemento al frente de la lista + - [ ] pop_front() – Elimina el elemento frontal y regresa su valor + - [ ] push_back(value) – Añade un elemento al final + - [ ] pop_back() – Elimina el último elemento y devuelve su valor + - [ ] front() – Obtiene el valor del elemento frontal - [ ] back() – Obtiene el valor del último elemento - - [ ] insert(index, value) – Inserta valor en el índice, por lo que el valor actual en ese índice es apuntado al nuevo elemento en el índice - - [ ] erase(index) – Borra el nodo del índice dado - - [ ] value_n_from_end(n) – Regresa el valor del nodo en la n-ava posición a partir del final de la lista + - [ ] insert(index, value) – Inserta valor en el índice, por lo que el valor actual en ese índice es apuntado al nuevo elemento en el índice + - [ ] erase(index) – Borra el nodo del índice dado + - [ ] value_n_from_end(n) – Regresa el valor del nodo en la n-ava posición a partir del final de la lista - [ ] reverse() – Pone al revés toda la lista - - [ ] remove_value(value) – Borra el primer elemento en la lista con ese valor + - [ ] remove_value(value) – Borra el primer elemento en la lista con ese valor - [ ] Doble lista enlazada - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No es necesario + - No es necesario - ### Pila - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) @@ -587,8 +587,8 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - dequeue() – Regresa el valor y elimina el valor más recientemente añadido(frontal) - empty() - [ ] Implementar usando arreglos de tamaño fijo: - - enqueue(value) – Añade elemento al final del almacenamiento disponible - - dequeue() – Regresa el valor y elimina el elemento más recientemente añadido + - enqueue(value) – Añade elemento al final del almacenamiento disponible + - dequeue() – Regresa el valor y elimina el elemento más recientemente añadido - empty() - full() - [ ] Costo: @@ -619,15 +619,15 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - [ ] Implementar con arreglo usando sondaje lineal + - [ ] Implementar con arreglo usando sondaje lineal - hash(k, m) - m es el tamaño de la matriz asociativa - add(key, value) – Si la llave ya existe , actualiza el valor - exists(key) - get(key) - remove(key) -## Información adicional -- ### Búsqueda binaria +## Información adicional +- ### Búsqueda binaria - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) @@ -635,7 +635,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - Búsqueda binaria (en un arreglo ordenado de enteros) - Búsqueda binaria usando recursión -- ### Operaciones bit a bit +- ### Operaciones bit a bit - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - Debería conocer varias de las potencias de 2 a partir de (2^1 to 2^16 and 2^32) - [ ] Obtenga un buen entendimiento de la manipulación de bits con: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) @@ -651,7 +651,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] Contar bits puestos + - [ ] Contar bits puestos - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) @@ -666,7 +666,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - ### Árboles - Notas & Antecedentes - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - Construcción básica de árboles + - Construcción básica de árboles - Recorrido - Algoritmos de manipulación - BFS (búsqueda en amplitud) @@ -704,18 +704,18 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - [ ] Implementar: - [ ] insert // Inserta valores en el árbol - - [ ] get_node_count // Obtener la cuenta de los valores almacenados + - [ ] get_node_count // Obtener la cuenta de los valores almacenados - [ ] print_values // Imprime los valores en el árbol, del min al max - [ ] delete_tree - - [ ] is_in_tree // Devuelve verdadero si el valor dado existe en el árbol + - [ ] is_in_tree // Devuelve verdadero si el valor dado existe en el árbol - [ ] get_height // Regresa la altura en los nodos (La altura de cada nodo es 1) - [ ] get_min // Regresa el valor mínimo almacenado en el árbol - - [ ] get_max // Regresa el valor máximo almacenado en el árbol + - [ ] get_max // Regresa el valor máximo almacenado en el árbol - [ ] is_binary_search_tree - [ ] delete_value - [ ] get_successor // Regresa el siguiente valor más alto en el árbol después del valor dado,-1 si ninguno -- ### Montículo / Colas de Prioridad / Montículo binario +- ### Montículo / Colas de Prioridad / Montículo binario - Visto como un árbol, pero usualmente es lineal en el almacenamiento (arreglo, lista enlazada) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) @@ -734,19 +734,19 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] Implementar una cola máxima: - [ ] insert - [ ] sift_up – Necesario para el insert - - [ ] get_max – Regresa el máximo elemento, sin eliminarlo + - [ ] get_max – Regresa el máximo elemento, sin eliminarlo - [ ] get_size() – Regresa el número de elementos almacenados - [ ] is_empty() – Devuelve verdadero si la cola está vacía - - [ ] extract_max – Regresa el máximo elemento, eliminándolo + - [ ] extract_max – Regresa el máximo elemento, eliminándolo - [ ] sift_down – Necesario para extract_max - [ ] remove(i) – Elimina el elemento en el índice x - [ ] heapify – Crea una cola de un arreglo de elementos, necesario para heap_sort - - [ ] heap_sort() – Toma un arreglo no ordenado y lo convierte en un arreglo ordenando en su lugar usando una cola máxima + - [ ] heap_sort() – Toma un arreglo no ordenado y lo convierte en un arreglo ordenando en su lugar usando una cola máxima - Nota: Usar una cola mínima reduciría operaciones, pero duplicaría el espacio necesario (No se puede hacer en lugar). -## Ordenamientos +## Ordenamientos - [ ] Notas: - - Implementar ordenamientos y conocer el mejor/peor de los casos y el promedio de complejidad de cada uno: + - Implementar ordenamientos y conocer el mejor/peor de los casos y el promedio de complejidad de cada uno: - No ordenamiento de burbuja - Es terrible - O(n^2), excepto cuando n <= 16 - [ ] Estabilidad en algoritmos de ordenamiento("¿Es Quicksort estable?") - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) @@ -875,7 +875,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] Verificación de grafo bipartito Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas -## Más información adicional +## Más información adicional - ### Recursión - [ ] Conferencias de Stanford sobre la recursividad y retroceso: - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) @@ -887,11 +887,11 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) -- ### Programación Dinámica +- ### Programación Dinámica - Este tema puede ser bastante difícil, ya que cada problema soluble PD debe definirse como una relación de recursión, y llegar a ella puede ser complicado. - Sugiero que busque muchos ejemplos de problemas de PD hasta que tenga una comprensión sólida del patrón involucrado. - [ ] Videos: - - Los videos de Skiena pueden ser duros de seguir ya que a veces usa el pizarrón que es demasiado pequeño para ver + - Los videos de Skiena pueden ser duros de seguir ya que a veces usa el pizarrón que es demasiado pequeño para ver - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) @@ -912,7 +912,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) -- ### Programación Orientada a Objetos +- ### Programación Orientada a Objetos - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - Puede omitir esto si tiene una gran comprensión de OO y OO prácticas de diseño. @@ -933,7 +933,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) -- ### Patrones de diseño +- ### Patrones de diseño - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - [ ] Aprenda estos patrones: - [ ] strategy @@ -993,7 +993,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - Paginas 1048 - 1140 en CLRS si lo tiene. -- ### Memoria cache +- ### Memoria cache - [ ] LRU cache: - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) @@ -1092,10 +1092,10 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Planificador - En un SO, Como funciona - - Se pueden obtener de los videos del sistema operativo + - Se pueden obtener de los videos del sistema operativo - ### Implementar rutinas del sistema - - Entienda lo que hay debajo de las API de programación que usa + - Entienda lo que hay debajo de las API de programación que usa - ¿Puede implementarlas? - ### Búsqueda de cadenas y manipulaciones @@ -1127,7 +1127,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) -- ### Números de punto flotante +- ### Números de punto flotante - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) @@ -1159,7 +1159,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) -## Diseño del Sistema, Escalabilidad, Manejo de Datos +## Diseño del Sistema, Escalabilidad, Manejo de Datos - **Puede esperar preguntas sobre el diseño del sistema si tiene más de 4 años de experiencia.** - La escalabilidad y el diseño del sistema son temas muy extensos con muchos temas y recursos, ya que hay mucho que considerar al diseñar un sistema de software / hardware que puede escalar. Espere dedicarle un buen tiempo a esto. - Consideraciones: @@ -1323,7 +1323,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros --- -## Practica de preguntas de codificación +## Practica de preguntas de codificación Ahora que conoce todos los tópicos de las Ciencias de la Computación mencionados anteriormente, es tiempo de practicar respondiendo algunos problemas de codificación. @@ -1359,7 +1359,7 @@ Complementarios: Vea [Lista de libros](#lista-de-libros) -## Ejercicios de codificación/Desafíos +## Ejercicios de codificación/Desafíos Una vez haya aprendido, ponga ese cerebro a trabajar. Tome desafíos de codificación todos los días y tantos como pueda. @@ -1391,18 +1391,18 @@ Bosquejos de entrevista: - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) - [Refdash: Mock interviews](https://refdash.com/) -## Una vez cerca de la entrevista +## Una vez cerca de la entrevista - [ ] Cracking The Coding Interview Set 2 (videos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) -## Su CV +## Su CV - Vea los elementos de preparación en **Cracking The Coding Interview and back of Programming Interviews Exposed** -## Pensando en cuando llegue la entrevista +## Pensando en cuando llegue la entrevista Piense en aproximadamente veinte preguntas de la entrevista que usted conseguirá, junto con las líneas de abajo. Tenga 2-3 respuestas para cada una. Tener una historia, no sólo datos, sobre algo que logro. @@ -1420,7 +1420,7 @@ Tener una historia, no sólo datos, sobre algo que logro. - ¿Qué aprendió en [x trabajo / y proyecto]? - ¿Qué habría hecho mejor en [x trabajo / y proyecto]? -## Preguntas para el entrevistador +## Preguntas para el entrevistador Algunos de las mías (ya sé u respuesta, pero quiero su opinión o la perspectiva del equipo): @@ -1445,15 +1445,15 @@ Nunca está de verdad realizado. ***************************************************************************************************** ***************************************************************************************************** Todo lo que está debajo de este punto es opcional. - Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de - la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. + Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de + la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** --- -## Libros adicionales +## Libros adicionales - [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - Viejo pero bueno - [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) @@ -1466,17 +1466,17 @@ Nunca está de verdad realizado. - El libro canonico de diseño de patrones - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) -## Aprendizaje adicional +## Aprendizaje adicional Es probable que estos temas no aparezcan en una entrevista, pero los añadí para ayudarle a convertirse en un Ingeniero de Software más completo, y ser consciente en ciertas tecnologías y algoritmos, para que tenga una caja de herramientas más grande. -- ### Compiladores +- ### Compiladores - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) -- ### Emacs y Vi(m) +- ### Emacs y Vi(m) - Familiarícese con un editor de código basado en Unix - Vi(m): - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) @@ -1497,7 +1497,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) -- ### Unix: Herramientas para la línea de comandos +- ### Unix: Herramientas para la línea de comandos - Llene la lista inferior con buenas herramientas. - [ ] bash - [ ] cat @@ -1527,20 +1527,20 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) -- ### Entropía +- ### Entropía - También vea los videos de abajo - Asegúrese de ver los videos de la teoría de la información primero - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) -- ### Criptografía +- ### Criptografía - También ve los videos de abajo - - Asegúrese de ver los videos de la teoría de la información primero + - Asegúrese de ver los videos de la teoría de la información primero - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) -- ### Compresión - - Asegúrese de ver los videos de la teoría de la información primero +- ### Compresión + - Asegúrese de ver los videos de la teoría de la información primero - [ ] Computerphile (videos): - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) @@ -1551,7 +1551,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) -- ### Seguridad informática +- ### Seguridad informática - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) @@ -1576,7 +1576,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - ### Programación en paralelo - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) -- ### Sistemas de mensajería, serialización y colas +- ### Sistemas de mensajería, serialización y colas - [ ] [Thrift](https://thrift.apache.org/) - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) @@ -1620,19 +1620,19 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - ### HyperLogLog - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) -- ### Hashing sensible a la localidad +- ### Hashing sensible a la localidad - Usado para determiner la similitude de documentos - Lo opuesto de MD5 o SHA que son usados para determinar si dos documentos/cadenas son exactamente iguales. - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) -- ### Árboles van Emde Boa +- ### Árboles van Emde Boa - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - ### Estructuras de datos aumentadas - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) -- ### Árboles de búsqueda equilibrada +- ### Árboles de búsqueda equilibrada - Conocer por lo menos un tipo de árbol binario equilibrado (y saber cómo se implementa): - " Entre los árboles de búsqueda equilibrada, los árboles AVL y 2/3 están ahora pasados de moda, y los árboles rojo-negro parecen ser más populares. Una estructura de datos auto-organizable particularmente interesante es el árbol biselados, que utilizan rotaciones para mover cualquier clave accedida a la raíz.." - Skiena @@ -1704,18 +1704,18 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - Los primeros 37 minutos son muy técnicos, puede saltarlos (B es tamaño de bloque, tamaño de línea de caché) -- ### Árboles k-D +- ### Árboles k-D - Ideal para encontrar el número de puntos en un rectángulo o un objeto de dimensión superior - - Un buen ajuste para k-vecinos más cercanos + - Un buen ajuste para k-vecinos más cercanos - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) -- ### Lista por saltos +- ### Lista por saltos - " Éste es algo de una culta estructura de datos" - Skiena - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) -- ### Flujos de red +- ### Flujos de red - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) @@ -1724,7 +1724,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) -- ### Matemáticas para procesamiento rápido +- ### Matemáticas para procesamiento rápido - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) @@ -1745,10 +1745,10 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) -- ### Matemáticas discretas +- ### Matemáticas discretas - Vea videos debajo -- ### Aprendizaje automático +- ### Aprendizaje automático - [ ] ¿Por qué el aprendizaje automático? - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) @@ -1777,7 +1777,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par -- -## Detalles adicionales de ciertos temas +## Detalles adicionales de ciertos temas Agregué estos para reforzar algunas ideas ya presentadas anteriormente, pero no quería incluirlas arriba porque es demasiado. Es fácil exagerar en un tema. ¿Quieres ser contratado en este siglo, verdad? @@ -1846,7 +1846,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) -## Series de videos +## Series de videos Siéntese y disfrute. "Netflix and skill" :P @@ -1910,8 +1910,7 @@ Siéntese y disfrute. "Netflix and skill" :P - [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) -## Cursos de Informática +## Cursos de Informática - [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) - [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - diff --git a/translations/fr/README.md b/translations/README_fr.md similarity index 100% rename from translations/fr/README.md rename to translations/README_fr.md diff --git a/translations/he/README.md b/translations/README_he.md similarity index 100% rename from translations/he/README.md rename to translations/README_he.md diff --git a/translations/hi/README.md b/translations/README_hi.md similarity index 100% rename from translations/hi/README.md rename to translations/README_hi.md diff --git a/translations/id/README.md b/translations/README_id.md similarity index 100% rename from translations/id/README.md rename to translations/README_id.md diff --git a/translations/ko/README.md b/translations/README_ko.md similarity index 100% rename from translations/ko/README.md rename to translations/README_ko.md diff --git a/translations/pl/README.md b/translations/README_pl.md similarity index 100% rename from translations/pl/README.md rename to translations/README_pl.md diff --git a/translations/th/README.md b/translations/README_th.md similarity index 100% rename from translations/th/README.md rename to translations/README_th.md diff --git a/translations/uk/README.md b/translations/README_uk.md similarity index 100% rename from translations/uk/README.md rename to translations/README_uk.md diff --git a/translations/vi/README.md b/translations/README_vi.md similarity index 100% rename from translations/vi/README.md rename to translations/README_vi.md diff --git a/translations/es/src/AdquiridoAmazon.md b/translations/es/src/AdquiridoAmazon.md deleted file mode 100644 index db0eb1d8d4..0000000000 --- a/translations/es/src/AdquiridoAmazon.md +++ /dev/null @@ -1,22 +0,0 @@ -## [Fuente (Texto en Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) - -# Fui adquirido por Amazon -### 06 Marzo 2017 - - -Si ha estado siguiendo mis aventuras, sabrá he hecho startups por años, el año pasado no fue diferencia. Trate los últimos once meses como un inicio ( estudiando a tiempo completo para desarrollar mis habilidades para ser más comercial), con el objetivo de ser adquirido (en esta caso contratado) por una compañía grande. - - -Como debe saber, los últimos once meses fueron muy difíciles para mi. Como un desarrollador web autodidacta por quince años, mi plan de estudios de Ciencias de la Computación me tomó meses y más meses para practicar para la entrevista en la pizarra. El factor motivante fue iniciar una nueva carrera como un Ingeniero de Software. - - -Bueno, sali de mi zona de confort e hice muchos amigos y me conecte con cada gigante tecnológico en el Noroeste Pacífico. De todos ellos, Amazon se destacó como la empresa más innovadora de los últimos 10 años. Me presenté a través de una referencia, a quien había conocido en un evento a inicios del 2013, e hice el proceso de enlistamiento. - -Después de tantos meses de esfuerzo, sacrificio y preocupación sin parar, me complace anunciar que finalmente !lo logré! - -**Hoy acepte una oferta como un Ingeniero de Desarrollo de Software en Amazon.com.** -Trabajar en Amazon es un sueño vuelto realidad y trabajaré en el equipo de [Amazon Web Services Config](https://aws.amazon.com/config/). He tratado de trabajar en AWS por varios años. He usado AWS desde el 2012 cuando me inicie en el uso del CloudFormation para automatizar la construcción y ampliación de la infraestructura. - - ![Amazon Web Services](https://d2mw6vgfxwlz2a.cloudfront.net/2017/03Amazon_Web_Services_Logo-1488839386502.png) - -[AWS Config](https://aws.amazon.com/config/) es un servicio totalmente administrado que proporciona a los equipos operativos el inventario de recursos de AWS, el historial de configuración y las notificaciones de cambios de configuración para habilitar la seguridad y la gobernanza. Las reglas de configuración permiten a los administradores crear reglas que comprueban automáticamente la configuración de los recursos de AWS registrados por AWS Config, así como definir las acciones que AWS puede tomar para solucionar problemas automáticamente. diff --git a/translations/mock-up/how-to.md b/translations/how-to.md similarity index 100% rename from translations/mock-up/how-to.md rename to translations/how-to.md diff --git a/translations/mock-up/The Myth of the Genius Programmer Google Developers .odp b/translations/mock-up/The Myth of the Genius Programmer Google Developers .odp deleted file mode 100644 index e7d278a43b6eac1a3ea6305a1b4ecdf412f99de0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2381769 zcmb5V1yEf<(>92^1b26LcXtaO+}+*X-CcugaCZoDA$SN9++BmiUXu5F_pfiawrY9m z-aBV%m^0_hOm|QB)5>z-5O5&>{zyRBC~GR1fEOPh7~sdw%FfKy%hAlp(b3k*#K_gk z!Jf(8-jvb7$i>Qq(ZSKo-qgXw&Cbl;mC@1J%mw)Sw~aEeQ*;ohzg>`k0NVUVn+QQc 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zXO@D@)SJzB*=N75k<;I7c&1`p^sgVsv8{6H)#s~+0d4}MPmEiT^Kl&8>!UlCXsbXo z!H|9Ma{BF^7F>cc+!XF^{;6;X8qxgaC?Z#OxX>;E-o^&QL#W4lEd*0|SY)Vsq$xBa zT<+@p$dxdb&HB6joSBCgv$VeFtCUi&mrAwrVAkrBQ}^Qf|W$~s|o3@umK?r zBXUm@1guptS+^p=urxYA2x%D6u9hHR?8+b>jtNX#K0yd+7?JDQUL8(2bIu?V*Bmbm z7%hY}jF^!~5yQAlQ#aNtb&^pCX&7@kJHM#f zVH7O4gJDGCG=hL#Atq(+K9ZoZcd!!DFyeA1Md&%i!xh&1>t+fe4I_HzeWtF6Co8ST z%cH3HVkm`3$p-`HUiZ1qXQh@y@Z!Db8Fz99`8A!|#+h_TKT!KyRK zWpuI6NFk(QgwBs33~WVGB3)-{VVETiBjQ&Qga;eWeqCa9{*dydVZ?zPf`F+z6V8-; zO++jVa;0H}%MprTyIH$cZmIr|Go@j~)hdc$^M%Lwi%SMWx{-zv0k0^6O~1j8Sp~D8 zL8W2DzTS33T5RrAe@Lfg7%G2yc@u=?BRkcPboJe=t%y}KC_*tRXnprmeXCR}!giho zf$o^Hc+gs0eS=YJ@q3|`;;Q?M)ByEWI<0`suvI4~zUX2db#Z*ZOKV{vMupo6^=&We y()hi4Woetmiqh}jvR4 Date: Sat, 27 May 2017 21:02:56 -0500 Subject: [PATCH 91/94] Fixed errors and typos --- translations/{README_ar.md => README-ar.md} | 0 translations/{README_cn.md => README-cn.md} | 0 translations/{README_es.md => README-es.md} | 19 +++++++++++-------- translations/{README_fr.md => README-fr.md} | 0 translations/{README_he.md => README-he.md} | 0 translations/{README_hi.md => README-hi.md} | 0 translations/{README_id.md => README-id.md} | 0 translations/{README_ko.md => README-ko.md} | 0 translations/{README_pl.md => README-pl.md} | 0 translations/{README_th.md => README-th.md} | 0 translations/{README_uk.md => README-uk.md} | 0 translations/{README_vi.md => README-vi.md} | 0 12 files changed, 11 insertions(+), 8 deletions(-) rename translations/{README_ar.md => README-ar.md} (100%) rename translations/{README_cn.md => README-cn.md} (100%) rename translations/{README_es.md => README-es.md} (98%) rename translations/{README_fr.md => README-fr.md} (100%) rename translations/{README_he.md => README-he.md} (100%) rename translations/{README_hi.md => README-hi.md} (100%) rename translations/{README_id.md => README-id.md} (100%) rename translations/{README_ko.md => README-ko.md} (100%) rename translations/{README_pl.md => README-pl.md} (100%) rename translations/{README_th.md => README-th.md} (100%) rename translations/{README_uk.md => README-uk.md} (100%) rename translations/{README_vi.md => README-vi.md} (100%) diff --git a/translations/README_ar.md b/translations/README-ar.md similarity index 100% rename from translations/README_ar.md rename to translations/README-ar.md diff --git a/translations/README_cn.md b/translations/README-cn.md similarity index 100% rename from translations/README_cn.md rename to translations/README-cn.md diff --git a/translations/README_es.md b/translations/README-es.md similarity index 98% rename from translations/README_es.md rename to translations/README-es.md index 96ce20cc0e..52e30efc60 100644 --- a/translations/README_es.md +++ b/translations/README-es.md @@ -133,7 +133,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Criptografía](#criptografía) - [Compresión](#compresión) - [Seguridad informática](#seguridad-informática) - - [Garbage collection](#garbage-collection) + - [Recolección de basura](#recolección-de-basura) - [Programación en paralelo](#programacion-en-paralelo) - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajería-serialización-y-cola) - [A*](#a) @@ -182,7 +182,7 @@ Todo lo que aparece abajo es un plan, y debería abordar los elementos en orden Estoy usando el tema especial de markdown de Github, incluyendo listas de tareas para comprobar el progreso. -[] **Cree una nueva rama para que pueda validar elementos como este, solo ponga una x en los corchetes: [x]** +**Cree una nueva rama para que pueda validar elementos como este, solo ponga una x en los corchetes: [x]** Haga fork a una rama y siga los comandos siguientes @@ -211,10 +211,10 @@ Estoy usando el tema especial de markdown de Github, incluyendo listas de tareas - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) ## Acerca de los recursos de vídeo -Algunos videos solo están disponibles inscribiéndose a una clase de Coursera, EdX, o Lynda.com. Estos son llamados MOOCs. -En ocasiones las clases no están en sesión por lo que tendrá que esperar un par de meses, por lo que no tiene acceso. Los cursos de Lynda.com no son gratuitos. + Algunos videos solo están disponibles inscribiéndose a una clase de Coursera, EdX, o Lynda.com. Estos son llamados MOOCs. + En ocasiones las clases no están en sesión por lo que tendrá que esperar un par de meses, por lo que no tiene acceso. Los cursos de Lynda.com no son gratuitos. -Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. + Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. Me gustan recursos provenientes de universidades. @@ -873,6 +873,8 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] Cuenta los componentes conectados en un grafo - [ ] Lista de componentes fuertemente conectados - [ ] Verificación de grafo bipartito + + Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional @@ -1566,14 +1568,15 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) -- ### Garbage collection +- ### Recolección de basura - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) -- ### Programación en paralelo - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) +- ### Programación en paralelo + - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) - ### Sistemas de mensajería, serialización y colas @@ -1692,7 +1695,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - [ ] **Árboles-B** - - Dato curios: Es un misterio, pero la B puede ser por Boeing, Balanceado, o Bayer (co-inventor) + - Dato curioso: Es un misterio, pero la B puede ser por Boeing, Balanceado, o Bayer (co-inventor) - En práctica: Árboles-B son ampliamente utilizados en bases de datos. La mayoría de los sistemas de archivos modernos utilizan árboles B (o variantes). Además de su uso en bases de datos, el árbol B también se utiliza en sistemas de archivos para permitir el acceso rápido y aleatorio a un bloque arbitrario en un archivo en particular. El problema básico es convertir la dirección de bloque de archivos i en una dirección de bloque de disco (o tal vez a una dirección de cilindro-cabezal). - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) diff --git a/translations/README_fr.md b/translations/README-fr.md similarity index 100% rename from translations/README_fr.md rename to translations/README-fr.md diff --git a/translations/README_he.md b/translations/README-he.md similarity index 100% rename from translations/README_he.md rename to translations/README-he.md diff --git a/translations/README_hi.md b/translations/README-hi.md similarity index 100% rename from translations/README_hi.md rename to translations/README-hi.md diff --git a/translations/README_id.md b/translations/README-id.md similarity index 100% rename from translations/README_id.md rename to translations/README-id.md diff --git a/translations/README_ko.md b/translations/README-ko.md similarity index 100% rename from translations/README_ko.md rename to translations/README-ko.md diff --git a/translations/README_pl.md b/translations/README-pl.md similarity index 100% rename from translations/README_pl.md rename to translations/README-pl.md diff --git a/translations/README_th.md b/translations/README-th.md similarity index 100% rename from translations/README_th.md rename to translations/README-th.md diff --git a/translations/README_uk.md b/translations/README-uk.md similarity index 100% rename from translations/README_uk.md rename to translations/README-uk.md diff --git a/translations/README_vi.md b/translations/README-vi.md similarity index 100% rename from translations/README_vi.md rename to translations/README-vi.md From d9ad20087f418a9ac0cbfff14fb1dafab4e24087 Mon Sep 17 00:00:00 2001 From: Dan Ossorio Date: Sun, 28 May 2017 13:43:37 +0100 Subject: [PATCH 92/94] Parallel programming links are back in English version --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 9016239a04..62f8f6132d 100644 --- a/README.md +++ b/README.md @@ -1584,7 +1584,6 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - - ### Computer Security - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) @@ -1608,6 +1607,9 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - ### Parallel Programming + - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) + - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + - ### Messaging, Serialization, and Queueing Systems - [ ] [Thrift](https://thrift.apache.org/) - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) From e4d0656b55978dbe1d85e32391250ce12d70d061 Mon Sep 17 00:00:00 2001 From: Dan Ossorio Date: Sun, 28 May 2017 13:51:40 +0100 Subject: [PATCH 93/94] Moving moved translations to where they were --- translations/README-he.md => README-he.md | 0 translations/README-hi.md => README-hi.md | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename translations/README-he.md => README-he.md (100%) rename translations/README-hi.md => README-hi.md (100%) diff --git a/translations/README-he.md b/README-he.md similarity index 100% rename from translations/README-he.md rename to README-he.md diff --git a/translations/README-hi.md b/README-hi.md similarity index 100% rename from translations/README-hi.md rename to README-hi.md From a339ebd95abb1b8b3cccfa4d7d4ef50d40c741ba Mon Sep 17 00:00:00 2001 From: Dan Ossorio Date: Sun, 28 May 2017 14:04:45 +0100 Subject: [PATCH 94/94] Ignores windows and unix backup files --- .gitignore | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.gitignore b/.gitignore index e8fbd5fe43..417a4e55da 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,5 @@ .idea -personal-9894.md -~$ADME-es.txt -translations/~$ADME-es.md -translations/es/~$README.md + +// Targets Windows & Unix temporary files +~$* +*~

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