[Numpy-discussion] Comparing NumPy/IDL Performance
Fri Sep 30 08:00:21 CDT 2011
Just want to point to some excellent material that was recently presented at
the course Advanced Scientific Programming in
Python<https://python.g-node.org/wiki/>at St Andrews. Day 3 was titled
"The Quest for Speed" (see
https://python.g-node.org/wiki/schedule) and might interest you as well.
On 29 September 2011 20:46, Keith Hughitt <email@example.com> wrote:
> Ah. Thanks for catching that!
> Otherwise though I think everything looks pretty good.
> Thanks all,
> On Thu, Sep 29, 2011 at 12:18 PM, Zachary Pincus <firstname.lastname@example.org>wrote:
>> I think the remaining delta between the integer and float "boxcar"
>> smoothing is that the integer version (test 21) still uses median_filter(),
>> while the float one (test 22) is using uniform_filter(), which is a boxcar.
>> Other than that and the slow roll() implementation in numpy, things look
>> pretty solid, yes?
> NumPy-Discussion mailing list
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the NumPy-Discussion