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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. N
by Random_ernest 7y ago
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 7y agoI 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 7y agoIt's not those libraries' performances, but allowing people to port their own code with less friction for a presumed gain in performance.
- sergiotapia 7y agoHow would one find these "top 50 python libraries" list?
- shimst3r 7y agoI’d suggest based on PyPI download numbers, see https://hugovk.github.io/top-pypi-packages/ https://hugovk.github.io/top-pypi-packages/
- greggirwin 7y agohttps://libraries.io/ https://libraries.io/ ?