Polars: Fast DataFrame library for Rust and Python
In my world, anything that isn't "identical to R's dplyr API but faster" just isn't quite worth switching for. There's absolutely no contest: dplyr has the most productive API and that matters to me more than anything else. But I'm glad to see Polars moves away from the kludgey sprawl of the Pandas API towards the perfection of dplyr... while also being blazingly fast!Now just mix in a bit of DSL so people aren't obligated* to write lame boilerplate like "pandas.blahblah" or "polars.blahblah" just to reference a freaking column, and you're there!*If you like the boilerplate for "production robustness" or whatever, go wild, but analysts and scientists benefit from the option to write more concisely.