This may be of interest,
LLVM support in Mesa, and i believe there is work doing on with LLVM
and python in the pypy camp.
http://zrusin.blogspot.com/2007/05/mesa-and-llvm.html
I just stumbled on this page, while this conversation was happening :)
Dave
On 6/2/07, Bob Lewis <[EMAIL PROTECTED]>
Gary Pajer wrote:
> Because I'm a glutton for punishment, I'm starting to install things
> using easy_install. I'm very new at this, and it's not going well.
> python 2.5 / WinXP (and Kubuntu, but we'll start with Windows)
>
> if I type
> easy_install numpy
>
> stuff downloads, but stops with a
There is a scipy.sparse package but it seems to be fairly limited currently.
Anyway there's definitely nothing like MATLAB's ability to change a
matrix to sparse and still use most of the algorithms on it.
Good sparse support vs. not so much sparse support should probably be
added to the big featur
On Sat, Jun 02, 2007 at 08:14:54PM -0400, Christopher Hanley wrote:
> Hi,
>
> I cannot build the latest version of numpy in svn (r3857) on my Intel
> MacBook running OSX 10.4.9. I'm guessing that the problem is that a
> fortran compiler isn't found. Since NUMPY doesn't require FORTRAN I
> fou
On 01/06/07, dmitrey <[EMAIL PROTECTED]> wrote:
> y = x.flatten(1)
>
> turn array into vector (note that this forces a copy)
>
> Is there any way to do the trick wthout copying?
> What are the problems here? Just other way of array elements indexing...
It is sometimes possible to flatten an array
Some additional information. I have no problems building numpy on my
Redhat Enterprise 3 or Solaris 10 boxes at work. I was able to build
numpy there with and without the F77 system variable defined.
Interesting.
Cheers,
Chris
Christopher Hanley wrote:
> Hi,
>
> I cannot build the latest v
Hi,
I cannot build the latest version of numpy in svn (r3857) on my Intel
MacBook running OSX 10.4.9. I'm guessing that the problem is that a
fortran compiler isn't found. Since NUMPY doesn't require FORTRAN I
found this surprising. Has there been a change in policy? I'm
attaching the bui
Because I'm a glutton for punishment, I'm starting to install things
using easy_install. I'm very new at this, and it's not going well.
python 2.5 / WinXP (and Kubuntu, but we'll start with Windows)
if I type
easy_install numpy
stuff downloads, but stops with a prompt to select a compiler by
pas
James Turner wrote:
> 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
Hi Tobias
On Thu, Jan 08, 2004 at 08:35:07PM +0100, Tobias Knopp wrote:
Sorry I'm only answering now, but your mail took 3.5 years to arrive ;)
> I was looking for a method to find the indices of the smallest element
> of an 3-dimensional array a. Therefore i used
>
> a.arg
hi all.
in the numpy for matlab users I read
y = x.flatten(1)
turn array into vector (note that this forces a copy)
Is there any way to do the trick wthout copying?
What are the problems here? Just other way of array elements indexing...
Thx, D.
___
are there any numpy equivalents to MATLAB nnz(), sparse(), sparsity()?
I didn't see the ones in numpy for MATLAB users page.
Thx, D.
___
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