Very easy.

`pl.from_numpy` and `series.to_numpy` are your friend here. For 1D columns, we often can be zero copy as well.

Besides that we support numpy ufuncs for `Series` and `Expressions`. As OP pointed out:

https://kevinheavey.github.io/modern-polars/performance.html...

Numpy can be used to speed up some functions by utilizing numpy ufuncs. Numpy drops the GIL and therefore they can still be executed in parallel.