Dear Numpy list,
Has anyone looked at the comparitive speed of Numpy/Numarray vs. Ox? For
those that don't know, Ox is an implicitly typed, object oriented matrix
programming language that is one of the fastest around, and also allows
linking to C libraries (http://www.nuff.ox.ac.uk/Users/Doornik/index.html). I
use Python a lot, but I was wondering what the computational cost would be to
switch my matrix-y stuff to Numpy. Ox isn't open source...
Best wishes
Simon
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