All analyses and write-ups are contained in the Jupyter Notebooks in notebooks/
. Simply browse through them there.
If you would like to re-run any of the code, you will need Python 3.5 and several open-source packages. If you use virtualenv
, you can easily create the necessary environment (assuming you are in the repo's main directory) as follows:
virtualenv -p /usr/local/bin/python3.5 env
source env/bin/activate
pip install -r requirements.txt
Note that some of the notebooks read and write data to/from the data/
folder.