[benrutter]

I'd second this, especially if its just for personal use!

The data world owes a lot to pandas, but it has plenty of sharp edges and using it can sometimes involve pretty close knowledge of how things like indexing/slicing/etc work under the hood.

If I get stuck in polars, its almost always just a "what's the name of the function to use?" type problem rather than needing lots of knowledge about how things are working under the hood.

[3eb7988a1663]

Ehhh, there are still plenty of pandas idioms for which there is only a clunky polars equivalent. Sure, I like the strictness of polars, but it is missing some day-to-day functionality. Which might never change - the polars team is trying to be disciplined about having a consistent and performant API, which does mean some functionality may be left behind.