Resources

Here is a list of resources for Polars.

Polars website

• Official documentation
• Polars API
• GitHub repo

Book

Kevin Heavey wrote Modern Polars following the model of the Modern Pandas book. This is a great resource, although getting a little outdated for the scaling chapter since Polars is evolving so fast.

Integration with other tools

• NumPy:
  See the documentation, the from_numpy and to_numpy functions, the development progress of this integration, and performance advice.

• Parallel computing:
  With Ray thanks to this setting; with Spark, Dask, and Ray thanks to fugue.

• GPUs:
  With the cuDF library from RAPIDS (in development).

• SQL:
  With DuckDB.

• Plotting:
  A great section of the documentation shows how Polars integrates with many Python plotting frameworks.

• Publishing:
  The documentation shows how to publish beautiful tables from Polars data frames with Great Tables.