3 ms·

making clones of the top 50 python libraries would make it attractive. familiar syntax! way more speed!

• staticassertion 7y ago
  This would be super compelling.
• 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 ago
    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 7y ago
    It's not those libraries' performances, but allowing people to port their own code with less friction for a presumed gain in performance.
  • sergiotapia 7y ago
    How would one find these "top 50 python libraries" list?
    • shimst3r 7y ago
      I’d suggest based on PyPI download numbers, see https://hugovk.github.io/top-pypi-packages/ https://hugovk.github.io/top-pypi-packages/
    • greggirwin 7y ago
      https://libraries.io/ https://libraries.io/ ?