On Tue, Sep 8, 2009 at 6:41 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
More precisely, 2GB for windows and 3GB for (non-PAE enabled) linux.
And just to further clarify, even with PAE enabled on linux, any
individual process has about a 3 GB address limit (there are hacks to
raise
Hello,
I have found performance problems under windows when using python 2.6
In my case, they seem to be related to the dot product.
The following simple script:
import numpy
import time
a=numpy.arange(100.)
a.shape=1000,1000
t0=time.time()
b=numpy.dot(a.T,a)
print Elapsed time =
V. Armando Solé wrote:
Hello,
I have found performance problems under windows when using python 2.6
In my case, they seem to be related to the dot product.
The following simple script:
import numpy
import time
a=numpy.arange(100.)
a.shape=1000,1000
t0=time.time()
David Cournapeau wrote:
V. Armando Solé wrote:
Hello,
I have found performance problems under windows when using python 2.6
In my case, they seem to be related to the dot product.
The following simple script:
import numpy
import time
a=numpy.arange(100.)
a.shape=1000,1000
Hello,
It seems to point towards a packaging problem.
In python 2.5, I can do:
import numpy.core._dotblas as dotblas
dotblas.__file__
and I get:
C:\\Python25\\lib\\site-packages\\numpy\\core\\_dotblas.pyd
In python 2.6:
import numpy.core._dotblas as dotblas
...
ImportError: No module named
V. Armando Solé skrev:
import numpy
import time
a=numpy.arange(100.)
a.shape=1000,1000
t0=time.time()
b=numpy.dot(a.T,a)
print Elapsed time = ,time.time()-t0
reports an Elapsed time of 1.4 seconds under python 2.5 and 15 seconds
under python 2.6
My computer reports 0.34 seconds
V. Armando Solé wrote:
Hello,
It seems to point towards a packaging problem.
In python 2.5, I can do:
import numpy.core._dotblas as dotblas
dotblas.__file__
and I get:
C:\\Python25\\lib\\site-packages\\numpy\\core\\_dotblas.pyd
That's where the error lies: if you install with
V. Armando Solé skrev:
In python 2.6:
import numpy.core._dotblas as dotblas
...
ImportError: No module named _dotblas
import numpy.core._dotblas as dotblas
dotblas.__file__
'C:\\Python26\\lib\\site-packages\\numpy\\core\\_dotblas.pyd'
Sturla Molden wrote:
V. Armando Solé skrev:
In python 2.6:
import numpy.core._dotblas as dotblas
...
ImportError: No module named _dotblas
import numpy.core._dotblas as dotblas
dotblas.__file__
'C:\\Python26\\lib\\site-packages\\numpy\\core\\_dotblas.pyd'
That's
David Cournapeau wrote:
V. Armando Solé wrote:
Hello,
It seems to point towards a packaging problem.
In python 2.5, I can do:
import numpy.core._dotblas as dotblas
dotblas.__file__
and I get:
C:\\Python25\\lib\\site-packages\\numpy\\core\\_dotblas.pyd
That's where the
V. Armando Solé wrote:
David Cournapeau wrote:
V. Armando Solé wrote:
Hello,
It seems to point towards a packaging problem.
In python 2.5, I can do:
import numpy.core._dotblas as dotblas
dotblas.__file__
and I get:
On Fri, Sep 11, 2009 at 5:25 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
V. Armando Solé wrote:
David Cournapeau wrote:
V. Armando Solé wrote:
Hello,
It seems to point towards a packaging problem.
In python 2.5, I can do:
import numpy.core._dotblas as dotblas
Hi,
In our project we define a class derived from numpy.float64 (and we add units)
and I noticed that instance creation was very slow. I found out that creating a
float64 object is fast, but creating an object from the derived class is almost
10 times slower, even if that class doesn't do
Hi,
I'm looking for some help getting the svn trunk numpy working on Max OS
X 10.6. I've installed my own version of Python 2.6 from python.org.
I've got the following flags set:
setenv MACOSX_DEPLOYMENT_TARGET 10.6
setenv CFLAGS -arch i386 -arch x86_64
setenv FFLAGS -arch i386 -arch x86_64
On Thursday 10 September 2009 19:03:20 John [H2O] wrote:
I have a routine that is iterating through a series of directories, loading
files, plotting, then moving on...
It runs very well for the first few iterations, but then slows tremendously
Maybe you collect some data into growing data
Dear all,
I've got two (integer) arrays, and I want to find the indices in the
first one that have entries in the second. I.E. I want all idx s.t.
there exists a j with a[idx]=b[j]. Here is my current implementation
(with a = pixnums, b=surveypix)
import numpy as np
def matchPix(pixnums,
On Fri, Sep 11, 2009 at 10:24, Andrew Jaffea.h.ja...@gmail.com wrote:
Dear all,
I've got two (integer) arrays, and I want to find the indices in the
first one that have entries in the second. I.E. I want all idx s.t.
there exists a j with a[idx]=b[j]. Here is my current implementation
(with
On Thu, Sep 10, 2009 at 10:03 AM, John [H2O]washa...@gmail.com wrote:
I have a routine that is iterating through a series of directories, loading
files, plotting, then moving on...
It runs very well for the first few iterations, but then slows tremendously
You mention plotting. I'd suggest
(HTML version of email)
Greetings!
September is well upon us and it looks like it's already time for
another Scientific Computing with Python webinar. Next week, Travis
Oliphant will be hosting a presentation on regression analysis in
NumPy and SciPy. As you are probably aware, Travis
Hi all,
Ticket http://projects.scipy.org/numpy/ticket/1216 can be
closed.
Cheers,
Nils
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Hello,
The folks at stsci (Jim T.) are not able to reproduce this error with
1.4.0.dev7362 so I guess there is something wrong with my numpy
installation.
I also tried '1.4.0.dev7362' and numpy1.3 (stable) but alas, the same error!
My system:
[r...@siate numpy]# uname -a
Linux
On 11/09/2009 08:33, Robert Kern wrote:
On Fri, Sep 11, 2009 at 10:24, Andrew Jaffea.h.ja...@gmail.com wrote:
Dear all,
I've got two (integer) arrays, and I want to find the indices in the
first one that have entries in the second. I.E. I want all idx s.t.
there exists a j with a[idx]=b[j].
On Fri, Sep 11, 2009 at 15:46, Andrew Jaffea.h.ja...@gmail.com wrote:
On 11/09/2009 08:33, Robert Kern wrote:
On Fri, Sep 11, 2009 at 10:24, Andrew Jaffea.h.ja...@gmail.com wrote:
Dear all,
I've got two (integer) arrays, and I want to find the indices in the
first one that have entries in
On Thu, Sep 10, 2009 at 14:39, David Warde-Farleyd...@cs.toronto.edu wrote:
On 10-Sep-09, at 1:09 PM, Robert Kern wrote:
One thing you can do to verify this is to change the order of
iteration. You will also want to profile your code. Then you can see
what is taking up so much time.
I'd love to participate in these webinars. Problem is, AFAICT, gotomeeting
only supports windows.
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On Sep 11, 2009, at 5:07 PM, Neal Becker wrote:
I'd love to participate in these webinars. Problem is, AFAICT,
gotomeeting
only supports windows.
I'm not certain that is correct. I've participated in some of these,
and Im' running OS X (10.5). I think those were gotomeeting, although
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