Welcome to pyErgast's documentation! =========================================================== .. image:: https://img.shields.io/badge/tutorial-py--pkgs-blue :target: https://ubc-mds.github.io/py-pkgs/ .. image:: https://img.shields.io/badge/cookiecutter-ubc--mds-yellow :target: https://github.com/UBC-MDS/cookiecutter-ubc-mds .. image:: https://img.shields.io/badge/badges-shields.io-brightgreen :target: https://shields.io/ Python pandas wrapper for the Ergast F1 API To get started, check out the sections below: .. toctree:: :maxdepth: 2 :caption: Contents: installation usage contributing conduct Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`