In this workshop, we will:
- Discover what polars is and what are its advantages (quick presentation)
- Get familiar with polars through simple examples (groupby, aggregations, filtering, renaming, computations..)
- Work our way through more advanced features (window functions, joins, pivoting, melting, selectors..)
- Compare execution times as well as memory usage between pandas and polars to see by ourselves the benefits of using polars.
- Discover fancier polars features (lazy evaluation, streaming engine..)
pip install -e .