On 16.06.2012 16:03, Daπid wrote:
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?
Hello Daπid,
I remember having written a random module for numpy based on stdlibs random
module, but somehow it didn't make it into numpypy. Does anyone know where it went?
Writing that is a bit problematic, though, unless you know how to make all those
distributions work based on a stream of random bits. I didn't at that time.
Regards,
David.
Regards,
- Timo
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