[Python-ideas] A General Outline for Just-in-Time Acceleration of Python

[Stefan Behnel]

David Mertz, 14.06.2014 09:53:
> moreover, (B) is not true if your existing code relies on C extensions,
> such as NumPy, which mostly aren't going to run on PyPy.
> 
> However, I do know about https://bitbucket.org/pypy/numpy.  At least some
> substantial part of NumPy has been ported to PyPy.  This may or may not
> support the code *you* need to run.

Usually, when people say "my code uses NumPy", what they mean is "NumPy and
parts of the surrounding ecosystem", which often includes SciPy and other
specialised number crunching libraries. Porting all of that to PyPy and its
numpypy reimplementation would take a while.

Stefan