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Scientific-Python-for-CSS-605

Examples for guest lecture for CSS 605

This repository contains some examples I'll run through in class. To follow along, you'll need:

For Part A:

The Scientific Python toolchain: in particular, IPython (including the Jupyter Notebook), NumPy, matplotlib, and pandas.

Installing: If you're using Anaconda or a similar pre-packaged version Scientific Python, you should be set. Otherwise, you can install all the libraries above using the pip command from the command line:

pip install ipython[all]
pip install numpy
pip install matplotlib
pip install pandas

To launch the IPython Notebook, just run from the command line: ipython notebook (or use the launcher included with Anaconda)

For Part B:

The Mesa ABM framework. Installing it is also done with pip: pip install mesa

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