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Throughout this class, we'll be using several python packages extensively. If you've never used them before, we strongly encourage you to play around with them and get comfortable.
They are:
* numpy - Python's package that provides high-performance matrix, vector and linear algebra operations
* matplotlib - a package for basic plotting and visualization of data
* seaborn - a nice visualization package that builds on matplotlib. Produces nicer visualizations, and has some built-in data analytics
All assignments will be turned in using ipython notebooks. If you've never used ipython before, you can either run it in a browser using something like jupyter, or you can run it interactively from a terminal using:
ipython –pylab
(I often find it easier to do my code development interactively in the terminal, then save a final notebook to turn in).
If you're more comfortable with IDEs, you may also want to check out spyder or pycharm.
