Jon Harrop wrote: > So I'm keen to learn what Python programmers would want/expect from F# and > OCaml.
I think this discussion becoming is a little misguided. The real strength of scipy is the elegant notation rather than speed. Being raised with Matlab I find scipy nicely familiar, and its fast enough for many tasks. Some would argue that the strength of scipy is the weakness of ocaml. Others would disagree. That is a question of taste. My only grudge about strongly recommending scipy to friends is the way that two arrays can share the same data. This can lead to subtle errors that I will eventually be blamed for. I don't know if arrays in Matlab (or Octave) can share data, but if they do, then everything happens behind the scenes and the user does not have to worry. I would love to see a future version of numpy that was 50% slower and had a more foolproof approach to array copying. http://www.scipy.org/Tentative_NumPy_Tutorial#head-1529ae93dd5d431ffe3a1001a4ab1a394e70a5f2 Niels -- http://mail.python.org/mailman/listinfo/python-list
