I'm really not qualified to address this, but I suspect a lot of these hopes have moved to HPy: https://github.com/hpyproject/hpy
On Fri, Oct 8, 2021 at 2:32 PM Werner Heisenberg < werner.heisenber...@gmail.com> wrote: > 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 > > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > https://mail.python.org/mailman/listinfo/pypy-dev >
_______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
