A Guide to Pandas Extension Types and How to Create Your Own

I've been keeping up to date with the evolution of the popular Python data processing library Pandas, with new capabilities and data type support emerging thanks to the Extension Types interface introduced in version 0.23.0. There aren't a whole lot of resources online covering this interface and how it can be used to create your own custom array data types, so I wrote a guide myself! Hopefully it will be interesting and useful to others.

Check it out here

There's lots of interesting new developments in the Python data processing landscape that I'm excited about, such as Apache Arrow for standardised efficient in-memory data storage, Polars as an Arrow-backed alternative to Pandas, and Ray and Dask distributed processing frameworks.