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0 pointsrrcaptain8y ago0 comments

Not all python programs are compatible with PyPy though. Nor do they get much of a performance boost by switching. Pandas and NumPy for example didn't work on PyPy until less than a year ago. And a good chunk of Python codebases are going to use one of those at some point.

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civility8y ago

> Not all python programs are compatible with PyPy though.

I'm not sure how this is relevant to my reply... I didn't say PyPy was a replacement for Python. I said PyPy, Lua, and JavaScript are existence proofs that dynamic "hash table" languages don't have to be slow. Therefore, CPython must be slow for some other reason.

mratsim8y ago

Pypy can't accelerate the Pandas/Numpy part anyway, the computationally intensive code in Numpy and Pandas is coded in C, C++ or Fortran.

Though there are a lot of if isInstance(Foo, bar) that could be avoided in a statically typed language.

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