[SciPy-user] Accelerating the calculation of a function
elcorto at gmx.net
Sun Aug 6 22:26:04 CDT 2006
Gael Varoquaux wrote:
> If it where a simple function I could use weave.inline or weave.blitz
> but this is a rather complicated function involving a lot of python
> magic that I would be very happy to keep ( things such as :
> sum( [F(k) for k in lasers]) ).
You're most probably doing it already (I just wondered about the list
comprehension): Can you do numpy.sum(F(lasers)) in your function (that
is, is 'lasers' a simple array)? Note that numpy.sum (or a.sum()) is
much faster then the builtin sum() for large arrays. Also use
numpy.amin(<array>) instead of min() and stuff like that.
Random number generation is the art of producing pure gibberish as
quickly as possible.
More information about the SciPy-user