> Red Hat uses Debian packages ? That sounds odd... FC uses RPM, Debian
> uses deb packages. The problem with RPM is, as stated by David some
> time ago, that a lot of info is missing in RPM that is present in deb.
I don't think I stated that :)
Well you said, IIRC, that you had troubles maki
Matthieu Brucher wrote:
>
> Maybe, maybe not. On 64bit Intel machines running 64bit linux the
> fedora package raises an illegal instruction error. Since the
> fedora package is based on the debian package this might be a
> problem on Ubuntu also. For recent hardware you are probabl
Maybe, maybe not. On 64bit Intel machines running 64bit linux the fedora
package raises an illegal instruction error. Since the fedora package is
based on the debian package this might be a problem on Ubuntu also. For
recent hardware you are probably better off compiling your own from the
latest
Charles R Harris wrote:
>
>
> Maybe, maybe not. On 64bit Intel machines running 64bit linux the
> fedora package raises an illegal instruction error. Since the fedora
> package is based on the debian package this might be a problem on
> Ubuntu also. For recent hardware you are probably better of
Hi,
In one of my package, I use numpy.distutils.system_info to detect a
C library. This works well on linux and Mac OS X, but on windows, the
library is not detected if only the dll is present. If the .lib is
there, then it is detected; the dll itself works OK (I can use it from
ctypes nor
On 5/31/07, David Cournapeau <[EMAIL PROTECTED]> wrote:
Robert Kern wrote:
> [EMAIL PROTECTED] wrote:
>> Hello there,
>> I'm new here, so excuse me if the solution is trivial:
>> i have installed ATLAS and LAPACK on my ubuntu 7 dual core intel
machine.
>> now, when i try to install numpy, it tel
This is very much worth pursuing. I have been working on things
related to this on and off at my day job. I can't say specifically
what I have been doing, but I can make some general comments:
* It is very easy to wrap the different parts of cude using ctypes and
call it from/numpy.
* Compared
Robert Kern wrote:
> [EMAIL PROTECTED] wrote:
>> Hello there,
>> I'm new here, so excuse me if the solution is trivial:
>> i have installed ATLAS and LAPACK on my ubuntu 7 dual core intel machine.
>> now, when i try to install numpy, it tells me it doesn't find these
>> libraries:
>>
>> "
>> $ pyth
Martin Ünsal gmail.com> writes:
>
> I was wondering if anyone has thought about accelerating NumPy with a
> GPU. For example nVidia's CUDA SDK provides a feasible way to offload
> vector math onto the very fast SIMD processors available on the GPU.
> Currently GPUs primarily support single preci
Hi Martin,
> I was wondering if anyone has thought about accelerating NumPy with a
> GPU. For example nVidia's CUDA SDK provides a feasible way to offload
> vector math onto the very fast SIMD processors available on the GPU.
> Currently GPUs primarily support single precision floats and are n
On 5/31/07, Martin Ünsal <[EMAIL PROTECTED]> wrote:
I was wondering if anyone has thought about accelerating NumPy with a
GPU. For example nVidia's CUDA SDK provides a feasible way to offload
vector math onto the very fast SIMD processors available on the GPU.
Currently GPUs primarily support si
I was wondering if anyone has thought about accelerating NumPy with a
GPU. For example nVidia's CUDA SDK provides a feasible way to offload
vector math onto the very fast SIMD processors available on the GPU.
Currently GPUs primarily support single precision floats and are not
IEEE compliant, but s
Well just go to
http://projects.scipy.org/mailman/listinfo/numpy-discussion and enter
your email address in the form.
Nice to see some one from LKB interested in numpy. You might want to talk
to Thomas Nirrengarten, from the Haroche group, is has been learning
Python and numpy recently.
Cheers,
I'm trying to compile a simple Fortran code with f2py but I get a bunch
of errors apparently related to my setup of python + numpy + ifort.
The final error is:
error: Command "ifort -L/Users/acorriga/pythonroot/lib
/tmp/tmp9KOZQM/tmp/tmp9KOZQM/src.linux-i686-2.5/simplemodule.o
/tmp/tmp9KOZQM/tm
Christopher Barker wrote:
>Anne Archibald wrote:
>
>
>>I implemented the Kuiper statistic and would be happy to
>>contribute it to scipy (once it's seen a bit more debugging), but it's
>>quite adequately described in the literature already, so it doesn't
>>seem worth writing an article about it.
Glen W. Mabey wrote:
>On Thu, May 31, 2007 at 11:05:52AM -0600, Travis Oliphant wrote:
>
>
>>Tobias Knopp wrote:
>>
>>
>>
>>>Hi!
>>>
>>>I was looking for a method to find the indices of the smallest element
>>>of an 3-dimensional array a. Therefore i used
>>>
>>>a.argmax()
>>>
>>>The problem
On Thu, May 31, 2007 at 11:05:52AM -0600, Travis Oliphant wrote:
> Tobias Knopp wrote:
>
> >Hi!
> >
> >I was looking for a method to find the indices of the smallest element
> >of an 3-dimensional array a. Therefore i used
> >
> >a.argmax()
> >
> >The problem was, that argmax gives me a flat index
Anne Archibald wrote:
> I implemented the Kuiper statistic and would be happy to
> contribute it to scipy (once it's seen a bit more debugging), but it's
> quite adequately described in the literature already, so it doesn't
> seem worth writing an article about it.
It could be a very short article
[EMAIL PROTECTED] wrote:
> Hello there,
> I'm new here, so excuse me if the solution is trivial:
> i have installed ATLAS and LAPACK on my ubuntu 7 dual core intel machine.
> now, when i try to install numpy, it tells me it doesn't find these
> libraries:
>
> "
> $ python setup.py install
> Runnin
Philip Riggs wrote:
>I am not finding an answer to this question in the latest numpy
>documentation. I have a package that still uses Numeric (GDAL with
>python bindings). Is this valid code that will work as expected to
>convert the Numeric array to a numpy array (very simplified from my
Lou Pecora wrote:
> I agree with this idea. Very good. Although I also
> agree with Anne Archibald that the requirement of an
> article in the journal to submit code is not a good
> idea. I would be willing to contribute an article on
> writing C extensions that use numpy arrays. I
> already h
Tobias Knopp wrote:
>Hi!
>
>I was looking for a method to find the indices of the smallest element
>of an 3-dimensional array a. Therefore i used
>
>a.argmax()
>
>The problem was, that argmax gives me a flat index. My question is, if
>there is a build-in function to convert the flat index back to
Hello there,
I'm new here, so excuse me if the solution is trivial:
i have installed ATLAS and LAPACK on my ubuntu 7 dual core intel machine.
now, when i try to install numpy, it tells me it doesn't find these
libraries:
"
$ python setup.py install
Running from numpy source directory.
F2PY Versio
2007/5/31, Travis Oliphant <[EMAIL PROTECTED]>:
> 1) I'd like to get it going so that we can push out an electronic issue
> after the SciPy conference (in September)
Such a journal is a very good idea indeed. This would also support the
credibility of python/scipy/numpy for an academic audience t
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Hi!
I am using numpy-1.0.1 and ran into problems with 4 routines in
lapack_litemodule.c on 64 bit machines. Traced it back to parsing of
ints as longs. This has been fixed in numpy-1.0.3 for three of the
routines. lapack_lite_zgeqrf() still has the wr
subscribe
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Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion
I am not finding an answer to this question in the latest numpy
documentation. I have a package that still uses Numeric (GDAL with
python bindings). Is this valid code that will work as expected to
convert the Numeric array to a numpy array (very simplified from my
script)?
import numpy
fr
Hi!
I was looking for a method to find the indices of the smallest element
of an 3-dimensional array a. Therefore i used
a.argmax()
The problem was, that argmax gives me a flat index. My question is, if
there is a build-in function to convert the flat index back to a
multidimensional one. I know
lorenzo bolla wrote:
> Hi all,
> I've got an easy question for you. I looked in Travis' book, but I
> couldn't figure out the answer...
>
> If I have an array1D (obtained reading a stream of numbers with
> numpy.fromfile) like that:
>
> In [150]: data
> Out[150]: array([ 2., 3., 4., 3.,
Matthieu Brucher wrote:
>
> For this point, I have the same opinion as Anne :
> - having an equivalence between cde and article is raising the entry
> level, but as Anne said, some code could be somehow too trivial ?
> - a peer-review process implies that an article can be rejected, so
> the cod
Anne Archibald wrote:
>On 31/05/07, Travis Oliphant <[EMAIL PROTECTED]> wrote:
>
>
>
>>2) I think it's scope should be limited to papers that describe
>>algorithms and code that are in NumPy / SciPy / SciKits. Perhaps we
>>could also accept papers that describe code that depends on NumPy /
>>S
On Thu, May 31, 2007 at 09:33:49AM -0500, John Hunter wrote:
> A colleague of mine is trying to update our production environment
> with the latest releases of numpy, scipy, mpl and ipython, and is
> worried about the lag time when there is a new numpy and old scipy,
> etc... as the build progresse
Ah, yes, I was typing too fast, thinking too little.
On 5/31/07, John Hunter <[EMAIL PROTECTED]> wrote:
> On 5/31/07, Matthew Brett <[EMAIL PROTECTED]> wrote:
> > Hi,
> >
> > > That would get them all built as a cohesive set. Then I'd repeat the
> > > installs without PYTHONPATH:
> >
> > Is that
On 5/31/07, Matthew Brett <[EMAIL PROTECTED]> wrote:
> Hi,
>
> > That would get them all built as a cohesive set. Then I'd repeat the
> > installs without PYTHONPATH:
>
> Is that any different from:
> cd ~/src
>cd numpy
>python setup.py build
>cd ../scipy
>python setup.py build
We
Hi,
> That would get them all built as a cohesive set. Then I'd repeat the
> installs without PYTHONPATH:
Is that any different from:
cd ~/src
cd numpy
python setup.py build
cd ../scipy
python setup.py build
...
cd ../numpy
python setup.py install
cd ../scipy
python setup.py
A colleague of mine is trying to update our production environment
with the latest releases of numpy, scipy, mpl and ipython, and is
worried about the lag time when there is a new numpy and old scipy,
etc... as the build progresses. This is the scheme he is considering,
which looks fine to me, but
I agree with this idea. Very good. Although I also
agree with Anne Archibald that the requirement of an
article in the journal to submit code is not a good
idea. I would be willing to contribute an article on
writing C extensions that use numpy arrays. I
already have something on this on the S
On Thu, May 31, 2007 at 12:07:09PM +0200, lorenzo bolla wrote:
> If I have an array1D (obtained reading a stream of numbers with
> numpy.fromfile)
> like that:
>
> In [150]: data
> Out[150]: array([ 2., 3., 4., 3., 4., 5., 4., 5., 6., 5., 6., 7.],
> dtype=float32)
>
> I want it to b
Hi all,
I've got an easy question for you. I looked in Travis' book, but I couldn't
figure out the answer...
If I have an array1D (obtained reading a stream of numbers with
numpy.fromfile) like that:
In [150]: data
Out[150]: array([ 2., 3., 4., 3., 4., 5., 4., 5., 6., 5., 6.,
7.], dtyp
Albert Strasheim wrote:
> Hello
>
> I took a quick look at the code, and it seems like new_fcompiler(...) is too
> soon to throw an error if a Fortran compiler cannot be detected.
>
> Instead, you might want to return some kind of NoneFCompiler that throws an
> error if the build actually tri
Hello all
- Original Message -
From: "David M. Cooke" <[EMAIL PROTECTED]>
To: "Discussion of Numerical Python"
Sent: Thursday, May 31, 2007 2:53 AM
Subject: Re: [Numpy-discussion] build problem on Windows (was:
buildproblemon RHE3 machine)
> On Thu, May 31, 2007 at 02:32:21AM +0200, A
Hi,
> > I can see your point I think, that situation 1 seems to be the more
> > common and obvious, and coming at it from outside, you would have
> > thought that a.byteswap would change both.
>
> I think the reason that byteswap behaves the way it does is that for
> situation 1 you often don't ac
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