Sesion01_00_Presentacion.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<h1 align=\"center\">PROGRAMACIÓN DE COMPUTADORES</h1>\n",
    "\n",
    "<h2 align=\"center\">UNIVERSIDAD EAFIT</h2>\n",
    "\n",
    "<h3 align=\"center\">MEDELLÍN - COLOMBIA </h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "<h2 align=\"center\">Sesión 01_00 - Presentación del Curso</h2>    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Lenguaje: Python 3.8.1\n",
    "\n",
    "### Desarrollado en: Notebook Jupyter\n",
    "\n",
    "### Versión: 1.1\n",
    "\n",
    "### Fecha: Enero de 2020\n",
    "\n",
    "### Autor: Docentes del área\n",
    "\n",
    "#### Medellín, enero de 2020"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### TODOS DEBERÍAMOS SABER PROGRAMAR... TODOS!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"640\"\n",
       "            height=\"480\"\n",
       "            src=\"https://www.youtube.com/embed/Y1HHBXDL9bg\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x1e8238b0208>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import YouTubeVideo, HTML, IFrame\n",
    "YouTubeVideo('Y1HHBXDL9bg', width=640, height=480)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Video recomendado\n",
    "\n",
    "[En pocas palabras - La programación](https://www.netflix.com/co/title/80216752 \"En pocas palabras - La Programación\"), serie de Netflix/2019."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Coordinador del Curso\n",
    "\n",
    "### [Juan Francisco Cardona Mc'Cormick](http://www.eafit.edu.co/docentes-investigadores/Paginas/juan-cardona.aspx)\n",
    "\n",
    "<img src=\"http://www.eafit.edu.co/docentes-investigadores/PublishingImages/juan-francisco-cardona.jpg\" alt=\"Juan Francisco Cardona Mc'Cormick\" />\n",
    "\n",
    "\n",
    "## Docentes\n",
    "\n",
    "\n",
    "> **César Augusto Ruiz Jaramillo**\n",
    "> - **Magister en Ingeniería U. EAFIT**\n",
    "> - **Correo: cruizjar@eafit.edu.co**\n",
    "\n",
    "<img src=\"https://dl.dropbox.com/s/xl6yt4ca6gi10ix/CesarAugustoRuizJaramillo.jpg\" alt=\"description here\" />\n",
    "\n",
    "\n",
    "> **Myriam Castro Cárdenas**\n",
    "> - **Ingeniera de Sistemas**\n",
    "> - **Magister en Administración  U. EAFIT**\n",
    "> - **Oficina: Bloque 19 - 6 piso - 622**\n",
    "> - **Correo: mcastro@eafit.edu.co**\n",
    "\n",
    "\n",
    "<img src=\"https://dl.dropbox.com/s/9din1v6spp0ojwe/MyriamCastroCardenas.jpg\" alt=\"Carlos Alberto Alvarez Henao\" />\n",
    "\n",
    "> **Carlos Alberto Álvarez Henao**\n",
    "> - **Ingeniero Civil**\n",
    "> - **DSc. Mecánica Computacional - UFRJ/Brasil**\n",
    "> - **Correo: calvar52@eafit.edu.co**\n",
    "\n",
    "<img src=\"https://dl.dropbox.com/s/9ce0ineaewhuu9l/CarlosAlbertoAlvarezHenao.jpg\" alt=\"description here\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Lenguajes de Programación\n",
    "\n",
    "![Imagen](https://github.com/carlosalvarezh/FundamentosProgramacion_U_EAFIT/blob/master/images/LenguajesProgramacion.jpg?raw=true \"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Por qué usar Python?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "# Justificación\n",
    "\n",
    "> Python es un lenguaje de programación multiplataforma, algunas de sus ventajas son: ayuda a mejorar la productividad ya que permite trabajar mucho más rápido que cualquier otro lenguaje, es versátil y soporta programación orientada a objetos, cuenta con una gran extensión de bibliotecas para un mejor uso, es un lenguaje de programación sostenible lo cual permite leer y modificar de una manera fácil los programas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Con Python se pueden hacer:\n",
    "\n",
    "- Aplicaciones Web.\n",
    "\n",
    "- Análisis de Datos.\n",
    "\n",
    "- Aprendizajes de Maquina.\n",
    "\n",
    "- Visión Artificial.\n",
    "\n",
    "- Robótica, programar \"pequeñas\" computadoras(Raspberry Pi).\n",
    "\n",
    "- Juegos.\n",
    "\n",
    "- Web Scraping.\n",
    "\n",
    "- Automatizar(Scripts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Algunas Empresas que usan Python:\n",
    "\n",
    "![Imagen](https://github.com/carlosalvarezh/FundamentosProgramacion_U_EAFIT/blob/master/images/PythonUsage.png?raw=true \"\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Lenguajes de Programación más usados a nivel mundial:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"100%\"\n",
       "            height=\"600px\"\n",
       "            src=\"https://www.tiobe.com/tiobe-index/\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x1e8238b0b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(IFrame('https://www.tiobe.com/tiobe-index/', '100%', '600px'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el siguiente video se podrá ver como ha sido la evolución de los lenguajes de programación más populares en la historia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"640\"\n",
       "            height=\"480\"\n",
       "            src=\"https://www.youtube.com/embed/Og847HVwRSI\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x1e8238b0128>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo('Og847HVwRSI', width=640, height=480)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Objetivo General:\n",
    "\n",
    "- Manejar conceptos básicos de programación Python orientando al estudiante en el conocimiento de la sintaxis y creación de programas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## Competencias:\n",
    "\n",
    "> Tras participar del proceso cognoscitivo y práctico, se espera que el alumno este en capacidad de:\n",
    "Entender la sintaxis de lenguaje `Python` al leer fuentes de otros programadores.\n",
    "Crear(Escribir) Scripts en `Python`, para crear diferentes tipos de aplicaciones como tipo consola(terminal),`TUI`, `GUI` y páginas Web básicas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## Público Objetivo:\n",
    "\n",
    "> Todas las personas que deseen aprender un lenguaje de programación, múltiples propósitos y diferentes tipos de aplicaciones."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Programa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "|**Semana** | **Fecha**         |**Contenido** |**Actividad Evaluativa**|\n",
    "|:-----:|:-------------:|-----------|----------------------|\n",
    "|01     |23-24/01/2020|[Presentación del curso](https://github.com/carlosalvarezh/FundamentosProgramacion_U_EAFIT/blob/master/Sesion01_00_Presentacion.ipynb \"Presentación del Curso\"). Entorno e Instalación, Herramientas: IDE’s ([Jupyter](https://github.com/carlosalvarezh/FundamentosProgramacion_U_EAFIT/blob/master/Sesion01_01_BreveIntro_a_Jupyter.ipynb \"Breve introducción a Jupyter\"), repl.it). [Introducción](https://github.com/carlosalvarezh/FundamentosProgramacion_U_EAFIT/blob/master/Sesion01_02_introduccion.ipynb \"Introducción\")| |\n",
    "|02|30-31/01/2020|[Entrada y Salida Básica, Tipos y Variables, Lógica Boolean](https://github.com/carlosalvarezh/Programacion_Python/blob/master/Sesion02_IO_basico_Variables_LogicaBooleana.ipynb \"Sesion02_IO_Basico\") ||\n",
    "|03|06-07/02/2020|[Estructuras de control de flujo](https://github.com/carlosalvarezh/Programacion_Python/blob/master/Sesion03_Estructuras_de_control_de_flujo.ipynb \"Sesion03: Estructuras de control de flujo\")||\n",
    "|04|13-14/02/2020|[Funciones](https://github.com/carlosalvarezh/Programacion_Python/blob/master/Sesion04_Funciones.ipynb \"Sesion 04: Funciones\")|Taller 01 (10%)|\n",
    "|05|20-21/02/2020|I/O-02a: Manipulación de archivos||\n",
    "|06|27-28/02/2020|I/O-02b: CSV, Manejo de Excepciones||\n",
    "|07|05-06/03/2020|Listas, Strings|Taller 02 (20%)|\n",
    "|08|12-13/03/2020|Tuplas, Conjuntos (sets), Diccionarios |Asamblea Estudiantíl|\n",
    "|09|19-20/03/2020|Algoritmos 1: Búsqueda y Ordenamiento||\n",
    "|10|26-27/03/2020|Algoritmos 2: Búsqueda y Ordenamiento||\n",
    "|11|02-03/04/2020|Ecosistema Python: Bibliotecas Visualización (Matplotlib)|Taller 03 (20%)|\n",
    "|12|16-17/04/2020|Ecosistema Python: Bibliotecas Visualización de Información (Pandas)||\n",
    "|13|23-24/04/2020|Ecosistema Python: Bibliotecas científicas (Numpy)||\n",
    "|14|30/04-01/05/2020|Programación Orientada a Objetos (POO): Clases, Objetos, Instancias, Herencia, Constructores (Init)|Taller 04 (20%)|\n",
    "|15|07-08/05/2020|Programación Orientada a Objetos (POO): Módulos, Bibliotecas||\n",
    "|16|14-15/05/2020|Cierre: Integración de temas vistos en el curso||\n",
    "|17|21-22/05/2020|Semana de Colchón ||\n",
    "|18|28-29/05/2020|Semana finales 1 ||\n",
    "|19|04-05/06/2020|Semana finales 2 |Final (30%) - Define Admisiones|\n"
   ]
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   },
   "source": [
    "## Evaluación\n",
    "\n",
    "- Un (1) taller del 10% - 10%\n",
    "- Tres (3) talleres del 20% c/u - 60%\n",
    "- Un (1) exámen final del 30% - 30% (fecha a determinarse por Admisiones en algún día de las dos semanas finales del semestre)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Por dónde empiezo? \n",
    "\n",
    "Lo primero es elegir una herramienta de trabajo sobre la cual realizar el código. A continuación me permito compartirles solo algunas herramientas de esas que he tenido la oportunidad de revisar y me parecen apropiadas para un curso de este nivel. No son las únicas, por el contrario, existen muchas otras más, quizás mejores, dependiendo del interés particular de desarrollo de cada quién. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Editores, IDE's, Notebooks\n",
    "\n",
    "**IDE** (*Integrated Development Environment*) o *Entorno de Desarrollo Integrado*, es una aplicación informática que permite la integración de varios servicios que permiten el desarrollo de un software o programa de computador. \n",
    "\n",
    "Normalmente consiste de:\n",
    "\n",
    "- Editor de Código fuente\n",
    "\n",
    "- Depurador\n",
    "\n",
    "Algunos Aplicativos usados para programar, enfoncándonos luego en `Python`, son:\n",
    "\n",
    "- **[PSeInt](http://pseint.sourceforge.net/ \"PSeInt\"):** \"*PSeInt es una herramienta para asistir a un estudiante en sus primeros pasos en programación. Mediante un simple e intuitivo pseudolenguaje en español (complementado con un editor de diagramas de flujo), le permite centrar su atención en los conceptos fundamentales de la algoritmia computacional, minimizando las dificultades propias de un lenguaje y proporcionando un entorno de trabajo con numerosas ayudas y recursos didácticos*\".\n",
    "\n",
    "\n",
    "- **[Anaconda](https://www.anaconda.com/ \"Anaconda\")**: suite de trabajo para desarrollo de programas en [Python](https://www.python.org/ \"Python.org\") o [R](https://www.r-project.org/ \"R\") para proyectos de computación científica, que incluye el Notebook [Jupyter](http://jupyter.org/ \"Jupyter\"), plataforma en la que están hechas estas notas del curso, y el IDE [Spyder](https://www.spyder-ide.org/ \"Spyder\"), entre otras herramientas.\n",
    "\n",
    "\n",
    "- **[PyCharm](https://www.jetbrains.com/pycharm-edu/ \"PyCharm\"):** es un entorno de desarrollo integrado (*IDE*) utilizado en la programación de computadoras, específicamente para el lenguaje `Python`. Es desarrollado por la compañía checa [JetBrains](https://www.jetbrains.com/ \"JetBrains\"). Proporciona análisis de código, un depurador gráfico, un probador de unidad integrado, integración con sistemas de control de versiones (*VCS*) y admite el desarrollo web con *Django*, así como Data Science con *Anaconda*.\n",
    "\n",
    "\n",
    "- **[repl.it](https://www.repl.it \"repl.it\"):** es una start-up basada en San Francisco y un *IDE* en línea. Su nombre proviene de \"[read – eval – print loop](https://en.wikipedia.org/wiki/Read%E2%80%93eval%E2%80%93print_loop \"repl\")\". Es compatible [*+50* lenguajes de programación](https://repl.it/languages \"repl.it languages\"): *JavaScript*, *Python*, *PHP*, *C/C++*, *Fortran* o incluso *QBasic*, entre muchos otros, así como de frameworks populares como Django, Ruby on Rails y Sinatra. Y si quieres lastimarte y escribir en Brainfuck, también puedes hacerlo.\n",
    "\n",
    "\n",
    "- **[Notepad++](http://notepad-plus-plus.org/ \"Notepad\"):** es un editor de código fuente (ojo, no ejecuta!!! solo edita!!!). Presenta resaltado de sintaxis, plegado de código y autocompletado limitado para lenguajes de programación, scripting y marcado, pero no terminación de código inteligente o verificación de sintaxis. Como tal, puede resaltar correctamente el código escrito en un esquema compatible, pero no se puede verificar si la sintaxis es internamente sólida o compilable. A partir de la versión 7.6.3, *Notepad++* puede resaltar los elementos sintácticos de *+70 lenguajes de programación*. Solo se cuenta para trabajar en el SO *Windows*.\n",
    "\n",
    "\n",
    "- **[Google Colab](https://colab.research.google.com/ \"Google Colaboratory\"):** *Colaboratory* (también conocido como *Colab*) es un entorno de *notebook Jupyter* gratuito que se ejecuta en la nube y almacena sus notebooks en *Google Drive*. *Colab* fue originalmente un proyecto interno de *Google* y a partir de octubre de 2019 *Colab* solo le permite crear notebooks con núcleos `Python 2` y `Python 3`; sin embargo, si tiene una computadora portátil con kernels `ir` o `swift`, funcionará, ya que tanto `R` como `Swift` están instalados en el contenedor. Otros núcleos como `Julia` aún no son compatibles."
   ]
  },
  {
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   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## De dónde obtengo información para aprender a programar?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Algoritmos\n",
    "\n",
    "Algunos libros introductorios en [Algoritmia](https://es.wikiversity.org/wiki/Algoritmia_y_programaci%C3%B3n_b%C3%A1sica/Aspectos_introductorios \"Algoritmia\"), que no emplean ningún lenguaje en particular \n",
    "\n",
    "- [Farrell, Joyce](http://latinoamerica.cengage.com/ls/introduccion-a-la-programacion-logica-y-diseno-7a-ed/ \"Farrell, Joyce. Introducción a la programación Lógica y Diseño\"). Introducción a la programación Lógica y Diseño (en físico, $$).\n",
    "\n",
    "\n",
    "- [Pinales y Velázquez](http://www.uaa.mx/direcciones/dgdv/editorial/docs/algoritmos.pdf \"Pinales y Velázquez. Algoritmos Resueltos con Diagramas de Flujo y Pseudocódigo\"). Algoritmos Resueltos con Diagramas de Flujo y Pseudocódigo (en pdf, libre descarga)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Python como lenguaje de programación (uno entre muchos)\n",
    "\n",
    "- [Python.org](https://www.python.org/ \"Python.org\"): Página oficial del lenguaje de programación Python (inglés)\n",
    "\n",
    "\n",
    "- [Downey, Allen B. Think Python. 2a Ed. Green Tea Press.](http://greenteapress.com/wp/think-python-2e/ \"Downey, Allen B. Think Python\"): Libro en PDF de libre descarga (inglés).  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "### MooCs\n",
    "\n",
    "**MooC** es la abreviatura de **Curso masivo abierto en línea** (*Massive open online Course*, en inglés) . En términos simples, es un curso de estudio puesto a disposición por Internet para una gran cantidad de personas. Algunas de las compañías de cursos en línea más comunes que compiten por este nuevo negocio educativo son: [Udemy](https://www.udemy.com/ \"Udemy\"), [Edx](https://www.edx.org/ \"Edx\"), [Coursera](https://www.coursera.org/ \"Coursera\"), [DataCamp](https://www.datacamp.com/ \"DataCamp\"), entre muchos otros.\n",
    "\n",
    "Los *MooC* generalmente tienen fechas específicas de inicio y finalización. Los interesados miran conferencias de video en línea, completan las tareas y reciben la calificación de inmediato la mayor parte del tiempo. Con el auge de la globalización y la tecnología, la accesibilidad a la educación superior ha aumentado dramáticamente.\n",
    "\n",
    "Los MooC son generalmente gratuitos, y los cursos ofrecidos en línea a menudo provienen de algunas de las universidades más prestigiosas como *Harvard*, *MIT* y *Stanford*. Cada año, los *MooC* se vuelven más populares. Hay más cursos disponibles y la calidad de la educación en línea aumenta. Los MooC se caracterizan por su masividad, apertura y conectividad. Utilizan estrategias similares a las redes sociales, conectando a las masas con los beneficios del aprendizaje.\n",
    "\n",
    "Pero... cuál de todos escoger? en [este enlace](https://coolcollegehelpers.com/udemy-vs-edx-coursera-udacity/ \"Udemy vs Edx vs Coursera vs Udacity\") pueden encontrar una excelente descripción de cada uno de ellos y encontrar cuál se adapta más a sus necesidades de capacitación, o en [este](https://medium.com/@adiyagil/udemy-vs-coursera-vs-lynda-the-ultimate-comparison-70586665dca5 \"Ultimate comparison\") también, y [aquí](https://www.thecrowder.com/online-courses-sites?utm_source=me&utm_medium=organic&utm_campaign=education&utm_content=Udemy-VS-Coursera-VS-Lynda&ref=me-organic-education-Udemy-VS-Coursera-VS-Lynda \"Online Courses Sites\") encontrará un cuadro comparativo y acceso directo a algunas de esas plataformas. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Tutoriales on-line:\n",
    "\n",
    "Algunas páginas que ofrecen cursos on-line en diferentes áreas de las *TICs* (inglés/español). Algunos son libres (\"grátis\") pero si necesita certificado debes pagar.\n",
    "\n",
    "- **[Python Course](https://www.python-course.eu/index.php):** Excelente página para aprender `Python`a nivel básico, intermedio y/o avanzado (inglés)\n",
    "\n",
    "\n",
    "- **[SocraticaStudios](https://www.youtube.com/user/SocraticaStudios \"Socratica\")** Canal de [Youtube](https://www.youtube.com/ \"Youtube\") con algunos recursos en español."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Apps para Smartphones y Tablets\n",
    "\n",
    "\n",
    "- **[Sololearn](https://www.sololearn.com/Course/Python/)**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Repositorios\n",
    "\n",
    "En los repositorios de software encontrarán abundante información de códigos ya creados que les permitirán avanzar en el conocimiento de los diferentes esquemas de programación, así como ver cómo es que otros programan y tienen (posiblemente) buenas prácticas de programación que te servirán para tener unos códigos muy eficientes y límpios.\n",
    "\n",
    "- **[Github](https://github.com/ \"Github\")**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
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   },
   "outputs": [],
   "source": [
    "from IPython.core.display import HTML\n",
    "def css_styling():\n",
    "    styles = open(\"custom.css\", \"r\").read()\n",
    "    return HTML(styles)\n",
    "css_styling()"
   ]
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