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A collection of Linux Sysadmin Test Questions and Answers. Test your knowledge and skills in different fields with these Q/A.
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It's just fascinating. How is modern software designed? 🤔 Some design-level considerations for scalability, maintainability eventual consistency, availability & reliability. 👨💻 Interview Prep. 👨💻
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⚡ From finding text to search and replace, from sorting to beautifying text and more 🎨
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A List of Data Science/Machine Learning Resources (Mostly Free)
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My solutions of some problems from different online judges
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《Java多线程编程实战指南(设计模式篇)》源码
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Design patterns implemented in Java
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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Essential Guide to keep up with AI/ML/DL/CV
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Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
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Python programs, usually short, of considerable difficulty, to perfect particular skills.
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Code library for competitive programming purposes.
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This repository contains a subset of pointers to solutions with editorials and notes to my trainees (ACM ICPC, OJs, IOI, POI, CEOI, JOI, etc). For IOI/OI, I organized what I found on the web from official solutions and materials.
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A Spectacle presentation based on the book by Edmond Lau
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List of Science courses with video lectures
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A curated list of amazingly awesome open source sysadmin resources inspired by Awesome PHP.
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A simple guide to HTML <head> elements
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A curated list of awesome Machine Learning frameworks, libraries and software.
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The Product Studio at Cornell Tech (TECH 5900).
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Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
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Publishes to Github Pages
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React friendly API wrapper around MapboxGL JS
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A curated list of engineering blogs
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System design interview for IT companies
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The Go programming language
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Papers from the computer science community to read and discuss.
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The last Markdown editor, ever.
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Deep Learning for NLP resources
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Programmatic generation of high-quality CVs
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Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)