[Random_ernest]

Many of the top 50 python libraries are wrapping a lot of code that is actually c, c++ or fortran. So I doubt that there is a lot of performance to be gained. Numpy is a good examples for that.

[gameswithgo]

I have applied for a job at a company where they were switching from Python to Rust, because even though they were using Numpy, there was a lot of overhead in setting the data up to send to Numpy.

[airstrike]

It's not those libraries' performances, but allowing people to port their own code with less friction for a presumed gain in performance.

[sergiotapia]

How would one find these "top 50 python libraries" list?

[shimst3r]

I’d suggest based on PyPI download numbers, see https://hugovk.github.io/top-pypi-packages/

[greggirwin]

https://libraries.io/ ?