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by gameswithgo 2310 days ago
making clones of the top 50 python libraries would make it attractive. familiar syntax! way more speed!
2 comments

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.
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.
It's not those libraries' performances, but allowing people to port their own code with less friction for a presumed gain in performance.
How would one find these "top 50 python libraries" list?
I’d suggest based on PyPI download numbers, see https://hugovk.github.io/top-pypi-packages/
This would be super compelling.