Hi everyone I read the pypy FAQ and some blog posts, which leaves me puzzled and this is why I'm asking here:
I'm doing data science and use numpy as only library in the code I'm talking about. A few years ago I used pypy to great success to speed up an algorithm of mine without much development effort. I had to rewrite the code a bit so numpypy was digesting it but it worked great. Now I am trying to do the same thing and numpypy seems to have been dropped in favor of complete support of numpy. In theory this is great - however now my algorithm is at least 4x slower with pypy. Is numpypy is no longer around or is there a way to install it and try the code with it? Is the numpy support by support of the c extension which the JIT cannot optimise? Does this make pypy slower than Cpython? There have been some blog posts about progress to make it faster from 2017 but then nothing. So is there anything I can do? I do not want to write all the numpy stuff I need in plain python as this would take a lot of time and then I would be so close to C, that I could implement everything in C straight away. Best regards Nikolai
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