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Using Polars in a Pandas world

Pandas has far more third-party integrations than Polars. Learn how to use those libraries with Polars dataframes.

Article Added by: itamarst // pythonspeed.com

Two kinds of threads pools, and why you need both

When you’re doing large scale data processing with Python, threads are a good way to achieve parallelism. This is especially true if you’re doing numeric processing, where the global interpreter lock (GIL) is typically not an issue. And if you’re using threading, thread pools are a good way to make sure you don’t use too many resources.

But how many threads should your thread pool have? And do you need just one thread pool, or more than one?

Article Added by: itamarst // pythonspeed.com