python_para_analisis_de_datos.ipynb

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    "# Curso de análisis de datos en Python\n",
    "\n",
    "## Ejemplos\n",
    "\n",
    "  - [Estadísitca básica](ejemplos/estadistica_basica.ipynb)\n",
    "  - [Kmeans](ejemplos/plot_kmeans_assumptions.ipynb)\n",
    "  - [Overfitting](ejemplos/plot_underfitting_overfitting.ipynb)\n",
    "\n",
    "## Introducción a Python\n",
    "\n",
    "  - [Introducción a Python](python/introduccion_a_python.ipynb)\n",
    "  - [Tipos y variables](python/tipos_y_variables.ipynb)\n",
    "  - [Cadenas de texto](python/cadenas_de_texto.ipynb)\n",
    "  - [Booleanos](python/booleanos.ipynb)\n",
    "  - [Control de flujo](python/control_de_flujo.ipynb)\n",
    "  - [Bloques e indentación](python/bloques_e_indentacion.ipynb)\n",
    "  - [Listas y secuencias](python/secuencias.ipynb)\n",
    "  - [Diccionarios](python/diccionarios.ipynb)\n",
    "  - [Sets](python/sets.ipynb)\n",
    "  - [Ficheros](python/ficheros.ipynb)\n",
    "  - [Funciones](python/funciones.ipynb)\n",
    "  - [Iteradores](python/iteradores.ipynb)\n",
    "  - [Clases y programación orientada a objetos](python/clases_y_objetos.ipynb)\n",
    "  - [Excepciones](python/excepciones.ipynb)\n",
    "  - [Modulos](python/modulos.ipynb)\n",
    "\n",
    "## Análisis de datos\n",
    "\n",
    "  - [Herramientas](analisis/herramientas.ipynb)\n",
    "  - [Numpy](analisis/numpy.ipynb)\n",
    "  - [Pandas](analisis/pandas.ipynb)\n",
    "  - [Ejercicios Pandas](analisis/pandas_ejercicios.ipynb)\n",
    "  - [Matplotlib](analisis/matplotlib.ipynb)\n",
    "  - [Ejercicios Matplotlib](analisis/matplotlib_ejercicios.ipynb)\n",
    "  - [scikit-learn](analisis/scikit_learn.ipynb)\n",
    "  - [Ejercicios scikit-learn](analisis/scikit_learn_ejercicios.ipynb)\n",
    "\n",
    "## Documentación\n",
    "\n",
    "### Libros\n",
    "\n",
    "Introducción a Python:\n",
    "  - [Think Python](http://greenteapress.com/wp/think-python/)\n",
    "  - [Introducing Python](http://shop.oreilly.com/product/0636920028659.do)\n",
    "  - [Learning Python](http://shop.oreilly.com/product/0636920028154.do), un libro excelente aunque no se ha hecho una edición para Python 3 todavía.\n",
    "  - [Automate the boring stuff with Python](https://automatetheboringstuff.com/)\n",
    "  \n",
    "Buenas prácticas de programación:\n",
    "  - [Fluent Python](http://shop.oreilly.com/product/0636920032519.do)\n",
    "  - [Effective Python](https://effectivepython.com/)\n",
    "  \n",
    "Análisis de datos:\n",
    "  - [Think Stats](http://greenteapress.com/wp/think-stats-2e/)\n",
    "  - [How to think like a computer scientist](http://interactivepython.org/runestone/static/thinkcspy/index.html)\n",
    "  - [Data Science from Scratch](http://shop.oreilly.com/product/0636920033400.do)\n",
    "  - [Python for Data Analysis](http://shop.oreilly.com/product/0636920023784.do)\n",
    "  - [An introduction to Statistics with Python](http://www.springer.com/gp/book/9783319283159)\n",
    "  - [Building Machine Learning Systems with Python](https://www.packtpub.com/big-data-and-business-intelligence/building-machine-learning-systems-python)\n",
    "\n",
    "### Documentación de librerías\n",
    "\n",
    "  - Documentación oficial de [Python](https://docs.python.org/3/)\n",
    "  - [Numpy](https://docs.scipy.org/doc/numpy/)\n",
    "  - [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html)\n",
    "  - [Scipy](https://docs.scipy.org/doc/scipy/reference/)\n",
    "  - [Scikit-learn](http://scikit-learn.org/stable/documentation.html)\n",
    "  - [Matplotlib](https://matplotlib.org/contents.html)\n",
    "\n",
    "### Webs con ejercicios\n",
    "\n",
    "  - [Rosalind](http://rosalind.info)\n",
    "  - [CodeCombat](https://codecombat.com/play)\n",
    "\n",
    "### Tutoriales\n",
    "\n",
    "  - [Tutorial oficial de Python](https://docs.python.org/3/tutorial/).\n",
    "  - [Tutorial de Numpy](https://docs.scipy.org/doc/numpy-dev/user/quickstart.html)\n",
    "  - [Tutoriales de pandas](https://pandas.pydata.org/pandas-docs/stable/tutorials.html)\n",
    "  - [Scientific Python Lectures](https://github.com/jrjohansson/scientific-python-lectures)\n",
    "  - [Jupyter notebooks](https://github.com/jupyter/jupyter/wiki/a-gallery-of-interesting-jupyter-notebooks#scientific-computing-and-data-analysis-with-the-scipy-stack) relacionados con la ciencia.\n",
    "  - [Jupyter notebook tour](http://nbviewer.jupyter.org/github/jvns/pandas-cookbook/blob/v0.1/cookbook/A%20quick%20tour%20of%20IPython%20Notebook.ipynb)\n",
    "\n",
    "### Galerías de gráficas\n",
    "\n",
    "  - [Matplotlib gallery](https://matplotlib.org/gallery.html)\n",
    "  - [Pandas visualization](https://pandas.pydata.org/pandas-docs/stable/visualization.html)\n",
    "  - [Seaborn examples](https://seaborn.pydata.org/examples/index.html)\n",
    " "
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