D. Code and Utilities
“On second thought, let’s not go to Camelot. It’s a silly place.”
—GRAHAM CHAPMAN AS KING ARTHUR IN Monty Python and theHoly Grail (1975)
Doing data science with Python means gathering programs and documentation from GitHub and staying in touch with organizations like PyCon, SciPy and PyData. At the time of this writing, the Python programming environment consists of more than 14,000 packages. There are large communities of open-source developers working on scientific programming packages like NumPy, SciPy, and SciKit-Learn. There is the Python Software Foundation, which supports code development and education. Useful general references for learning Python include Chun (2007), Beazley (2009), and Beazley and Jones (2013 ...
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