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