I’ve been moving over to use polars more often for my data work. It’s much faster than pandas at things like imputing millions of lines. It’s also a little more intuitive and you don’t waste time pissing around with indexes everytime you transform a dataframe.

Polars biggest downfall is that pandas/matplotlib are so ubiquitous in data science and polars just plays so differently than pandas including using hvplot as its default plotting package, etc. It really is trying to do much of its ecosystem exactly how it wants to maximize productivity, speed, etc. This may slow down the adoption of it, but hopefully it will push others in the better direction.