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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# ¿Cómo seguir con Python?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "_A continuación, pretendemos dar algunas ideas sobre cómo seguir aprendiendo Python y sus posibles herramientas orientas a ciencia e ingeniería. _\n",
+ "\n",
+ "_También, hablaremos del ecosistema Python, de su comunidad y de cómo involucrarse y establecer contacto con otras personas interesadas en este lenguaje de programación. _\n",
+ "\n",
+ "_Por último, pondremos distintos enlaces a diferentes canales. _"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Algunos libros y enlaces"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Introducción a Python\n",
+ "\n",
+ "* [\"Automate the Boring Stuff with Python\" by Al Sweigart](http://automatetheboringstuff.com/) \n",
+ "(Free to read under a Creative Commons license) \n",
+ "* [Recopilatorio de recursos \"Grupo de Iniciación de Python Madrid\"](https://python-madrid.github.io/learn-doc/)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Ciencia, Ingeniería, Data Science\n",
+ "* [\"Effective Computation in Physics\" by Anthony Scopatz, Kathryn Huff](http://shop.oreilly.com/product/0636920033424)\n",
+ "* [\"Python Data Science Handbook\" by Jake VanderPlas](http://shop.oreilly.com/product/0636920034919) \n",
+ "(contenido disponible en [GitHub](https://github.com/jakevdp/PythonDataScienceHandbook))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Ecosistema Python"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Webs interesantes\n",
+ "* [Python Software Foundation](https://www.python.org/)\n",
+ "* [Pybonacci](http://www.pybonacci.org/)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Comunidades interesantes y/o cercanas\n",
+ "* [Python España](https://www.es.python.org/)\n",
+ "* [Python Madrid](https://www.meetup.com/python-madrid/)\n",
+ "* [AeroPython](https://github.com/AeroPython)\n",
+ "* [PyLadies Madrid](https://www.meetup.com/PyLadiesMadrid/)\n",
+ "* [Cacheme](https://cacheme.org/)\n",
+ "* [Otras comunidades](https://www.es.python.org/pages/comunidades.html)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Pythonistas relevantes en Twitter\n",
+ "https://twitter.com/AeroPython/lists/relevant-pythonistas"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Grupos de Telegram\n",
+ "\n",
+ "* Python España\n",
+ "* Python Científico\n",
+ "* AeroPython"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "###### Juan Luis Cano, Álex Sáez, Mabel Delgado"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "_Las siguientes celdas contienen configuración del Notebook_\n",
+ "\n",
+ "_Para visualizar y utlizar los enlaces a Twitter el notebook debe ejecutarse como [seguro](http://ipython.org/ipython-doc/dev/notebook/security.html)_\n",
+ "\n",
+ " File > Trusted Notebook"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "/* This template is inspired in the one used by Lorena Barba\n",
+ "in the numerical-mooc repository: https://github.com/numerical-mooc/numerical-mooc\n",
+ "We thank her work and hope you also enjoy the look of the notobooks with this style */\n",
+ "\n",
+ "\n",
+ "\n",
+ "El estilo se ha aplicado =)\n",
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 1,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# preserve\n",
+ "# Esta celda da el estilo al notebook\n",
+ "from IPython.core.display import HTML\n",
+ "css_file = '../styles/aeropython.css'\n",
+ "HTML(open(css_file, \"r\").read())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "anaconda-cloud": {},
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}