Handling large datasets locally on laptops is not easy. As a workaround, data scientists either work on a sample data set or spin up spark clusters. Spark clusters don't come cheap. I recently ...

The Polars Cookbook is a comprehensive, hands-on guide to Python Polars, one of the first resources dedicated to this powerful data processing library. Written by Yuki Kakegawa, a seasoned data ...

This tutorial introduces NumPy and pandas/polars DataFrames for a tutorial session at EuroSciPy 2025. It is not a full in-depth course, but a first touch to these libraries. Who is this for? Beginner ...

Pandas works best for small or medium datasets with standard Python libraries. Polars excels at large data with multi-core processing and lower memory use. Combining both tools can maximize speed, ...