Hello,

I have seen that there are some missing functions in numpypy that
could be implemented, at least naïvely, very easily. An example of
this is zeros_like, as we have zeros and shape. Another example is the
random module, easy to port using list comprehension and the random
module from the standard library. In any case, based on the benchmarks
I have seen, I think the pypy version would be even faster than the
pure CPython+Numpy.

Would you be interested in a sub-optimal port of those functions? In
my opinion, it is better to have something not great (that could be
improved) that nothing at all. If so, what should I do?


Regards,

David.
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