Pandas vs Polars in 2026

Every data team asks the same question this year: should we move from pandas to Polars? The honest answer is "some of you, for some jobs".

Where Polars wins

Large files, wide joins and anything that used to need a bigger laptop. Lazy queries let Polars plan the whole job before it touches the data.

Where pandas still wins

Notebooks full of existing code, libraries that expect a DataFrame, and teammates who already know it. Rewriting working analysis rarely pays.

What we teach

Learn pandas first: it's what job posts ask for. Add Polars when a dataset is too slow, and keep both in your toolbox.