Collect and analyse data on the MTB race circuit, using Jupyter Notebooks and Python.
If you're interested in playing with this stuff yourself, you just need to download the .ipynb to get going, or you can clone the whole repo
git clone https://github.com/domwrap/mtbgeekstats.git
I use a variety of libraries, most of them pretty common. If you don't have any of them, you will be told when trying to execute, and you can meet any missing dependency using pip
pip install pandas seaborn matplotlib colour cycler
Numpy isn't explicitly listed as pandas will install it as a dependency of itself
There are further instructions as you go in the Notebooks
@domwrap
Mark Shilton for the inspiration
- http://lookatthestats.blogspot.ca
- https://plus.google.com/+MarkShilton
- https://dirtmountainbike.com/author/mrgeekstats
GPL3
You may copy, distribute and modify the software as long as you track changes/dates in source files. Any modifications to or software including (via compiler) GPL-licensed code must also be made available under the GPL along with build & install instructions.
(A few) more details on TLDR Legal