[Numpy-discussion] Array vectorization in numpy

[Sturla Molden]

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