On Tue, Jan 20, 2009 at 6:57 PM, Neal Becker wrote:
> It seems the big chunks of time are used in data conversion between numpy
> and my own vectors classes. Mine are wrappers around boost::ublas. The
> conversion must be falling back on a very inefficient method since there is no
> special code
On Tue, Jan 20, 2009 at 20:57, Neal Becker wrote:
> I see the problem. Thanks for the great profiler! You ought to make this
> more widely known.
I'll be making a release shortly.
> It seems the big chunks of time are used in data conversion between numpy
> and my own vectors classes. Mine a
Robert Kern wrote:
> 2009/1/20 Neal Becker :
>> I tried a little experiment, implementing some code in numpy (usually I
>> build modules in c++ to interface to python). Since these operations are
>> all large vectors, I hoped it would be reasonably efficient.
>>
>> The code in question is simple.
On Tue, Jan 20, 2009 at 20:44, Neal Becker wrote:
> Robert Kern wrote:
>
>> 2009/1/20 Neal Becker :
>>> I tried a little experiment, implementing some code in numpy (usually I
>>> build modules in c++ to interface to python). Since these operations are
>>> all large vectors, I hoped it would be r
Robert Kern wrote:
> 2009/1/20 Neal Becker :
>> I tried a little experiment, implementing some code in numpy (usually I
>> build modules in c++ to interface to python). Since these operations are
>> all large vectors, I hoped it would be reasonably efficient.
>>
>> The code in question is simple.
2009/1/20 Neal Becker :
> I tried a little experiment, implementing some code in numpy (usually I
> build modules in c++ to interface to python). Since these operations are
> all large vectors, I hoped it would be reasonably efficient.
>
> The code in question is simple. It is a model of an ampli
2009/1/20 Neal Becker :
> I tried a little experiment, implementing some code in numpy (usually I
> build modules in c++ to interface to python). Since these operations are
> all large vectors, I hoped it would be reasonably efficient.
>
> The code in question is simple. It is a model of an ampli
I tried a little experiment, implementing some code in numpy (usually I
build modules in c++ to interface to python). Since these operations are
all large vectors, I hoped it would be reasonably efficient.
The code in question is simple. It is a model of an amplifier, modeled by
it's AM/AM an
On Mon, Jan 19, 2009 at 12:26, Tim Michelsen
wrote:
> Hello,
> last year there has been a discussion on this on the OSGEO list about
> the same issue.
>
> You may check oggeo.discuss at Gmane or Nabble for it.
I must say that Wilfred L. Guerin's opinions on the subject were quite
entertaining and
Hello,
last year there has been a discussion on this on the OSGEO list about
the same issue.
You may check oggeo.discuss at Gmane or Nabble for it.
Kind regards,
Timmie
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Till I write some proper doc, you can check the examples in tests/
test_io (TestFromTxt suitcase)
On Jan 20, 2009, at 4:17 AM, Nils Wagner wrote:
> Hi all,
>
> Where can I find some sophisticated examples for the usage
> of numpy.genfromtxt ?
>
>
> Nils
> ___
Works much, much better with the current svn version. :) Numexpr now
outperforms everything except the "simple" technique, and then only
for small data sets.
Along the lines you mentioned I noticed that simply changing from a
shape of (100*100*100,) to (100, 100, 100) results in nearly a factor
of
On Mon, Jan 19, 2009 at 11:20 AM, Matthew Brett wrote:
> Hi,
>
>> Do you also know how the situation is with sourceforge/launchpad/trac...
>> and other popular hosting systems ?
>> Do they also have these restrictions ?
>
> I've not noticed any problems with sourceforge, nor launchpad - I'm
> usin
A Tuesday 20 January 2009, Andrew Collette escrigué:
> Hi Francesc,
>
> Looks like a cool project! However, I'm not able to achieve the
> advertised speed-ups. I wrote a simple script to try three
> approaches to this kind of problem:
>
> 1) Native Python code (i.e. will try to do everything at o
Hi all,
Where can I find some sophisticated examples for the usage
of numpy.genfromtxt ?
Nils
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