20 min, is
there any way to run the tests individually?
Is there a specific mailing list for numexpr, so I can avoid 'spamming'
numpy?
Thanks!
----------
Carlos Becker
On Wed, Jul 20, 2011 at 8:01 PM, Mark Wiebe wrote:
>
> On Wed, Jul 20, 2011 at 5:52 PM, srean wrot
escribió:
> Wed, 20 Jul 2011 08:49:21 +0200, Carlos Becker wrote:
>> Those are very interesting examples. I think that pre-allocation is
>> very
>> important, and something similar happens in Matlab if no pre-
>> allocation
>> is done: it takes 3-4x longer t
examples.
If I find something new I will let you know, I would be glad to switch to
numpy soon ;)
Cheers,
Carlos
On Wed, Jul 20, 2011 at 9:21 AM, Benjamin Root wrote:
> On Wednesday, July 20, 2011, Carlos Becker wrote:
> > Those are very interesting examples. I think that pre-alloca
me problem seems to be there.
With this I am not saying that numpy is not worth it, just that for many
applications (specially with huge matrices/arrays), pre-allocation does make
a huge difference, especially if we want to attract more people to using
numpy.
------
Carlos Becker
On W
be
> done about this so that numpy can deal with expressions rather than single
> operations chained by python itself? Maybe I am missing the point as well.
>
> --
> Carlos Becker
> ___
> NumPy-Discussion
.
--
Carlos Becker
On Tue, Jul 19, 2011 at 6:44 PM, Christopher Jordan-Squire
wrote:
>
>
> On Tue, Jul 19, 2011 at 11:19 AM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Tue, Jul 19, 2011 at 9:49 AM, Carlos Becker wrote:
>>
Carlos
On Tue, Jul 19, 2011 at 1:40 PM, Carlos Becker wrote:
> Hi Pauli, thanks for the quick answer.
> Is there a way to check the optimization flags of numpy after installation?
>
> I am away of a matlab installation now, but I remember I saw a single
> processor active with matl
Virtanen escribió:
> Tue, 19 Jul 2011 11:05:18 +0200, Carlos Becker wrote:
>> Hi, I started with numpy a few days ago. I was timing some array
>> operations and found that numpy takes 3 or 4 times longer than
>> Matlab on
>> a simple array-minus-scalar operation.
>>
Hi, I started with numpy a few days ago. I was timing some array operations
and found that numpy takes 3 or 4 times longer than Matlab on a simple
array-minus-scalar operation.
This looks as if there is a lack of vectorization, even though this is just
a guess. I hope this is not reposting. I tried
