I wish Python catches up to Julia in performance. No sense rewriting a trillion lines of code for what is a really pleasant syntax & ecosystem already.
But this is a language flamewar thing, probably not a constructive comment, sorry.
But this is a language flamewar thing, probably not a constructive comment, sorry.
Pure Julia is faster than pure python, but there are non-pure python tools available in the python ecosystem for a ton of things.
[0] -- https://www.pola.rs/
Yes, I agree, on average polars is a bit faster for many of the simple workflows, but I certainly don't think that's unconditionally true. It's especially less true when you might want to do something out of the ordinary with your series --- in Julia it's trivial to just extract that as a vector and loop over it (fast!). In polars, one would have to make sure their function can be appropriately vectorized.