Further reading.ipynb

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    "# Philosophy"
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    "import this"
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    "[PEP 8](https://www.python.org/dev/peps/pep-0008/) - Style Guide for Python Code"
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    "# Pure python\n",
    "\n",
    "- Know what's in the [standard library](https://docs.python.org/3/library/index.html).\n",
    "- Decorators.\n",
    "- Generators.\n",
    "- Object oriented programming."
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    "# Pandas and data analysis\n",
    "\n",
    "pandas is huge! We didn't cover many things. Among the more important parts that you should be aware of there are:\n",
    "\n",
    "- Resampling the time units of timed data.\n",
    "\n",
    "After pandas you will probably need some [numpy](http://www.numpy.org/) and [matplotlib](https://matplotlib.org/). The [scipy lecture notes](http://www.scipy-lectures.org/) will help you with that. [See my blog for more details](http://blog.tomgurion.me/getting-started-with-python.html).\n",
    "There's also [scikit-learn](https://pip.pypa.io/en/stable/) for machine learning (not deep learning!)."
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