[Numpy-discussion] Numpy performance vs Matlab.

[josef.pktd at gmail.com]

On Wed, Jan 7, 2009 at 1:32 PM, Sturla Molden <sturla at molden.no> wrote:
> On 1/7/2009 6:56 PM, Christopher Barker wrote:
>
>>> So for simple loops python looses, but for other things, python wins
>>> by a huge margin.
>>
>> which emphasizes the point that you can't write code the same way in the
>> two languages, though I'd argue that that code needs refactoring in any
>> language!
>
> Roux example would be bad in either language. Slices ('vectorization' in
> Matlab lingo) is preferred in both cases. It's just that neither Matlab
> nor Python/NumPy was designed to be used like Java. For loops should not
> be abused in Python nor in Matlab (but Matlab is more forgiving now than
> it used to be).
>
>
> Sturla Molden
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I'm missing name spaces in matlab. everything is
from path import *

and it's more difficult to keep are larger project organized in matlab
than in python.

But, I think,
matlab is ahead in parallelization (which I haven't used much)
and learning matlab is easier than numpy. (dtypes and broadcasting are
more restrictive in matlab but, for a beginner, easier to figure out)

Josef