Den 20.07.2011 08:49, skrev Carlos Becker: > > The main difference is that Matlab is able to take into account a > pre-allocated array/matrix, probably avoiding the creation of a > temporary and writing the results directly in the pre-allocated array. > > I think this is essential to speed up numpy.
As for speed, I think those who need Fortran, C or Cython knows where to find it. Yes, in certain situations you can make Matlab run faster than NumPy and vice versa. But I want to see an example of a real problem where it really matters -- not just "my faulty loop was a few milliseconds faster in Matlab." NumPy could use a more intelligent memory management and reuse some storage space, but I am not sure how much difference it would make. Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
