"Klemm, Michael" wrote:
> I have found that the numpy.linalg.svd algorithm creates the resulting U,
> sigma, and V matrixes with Fortran storage. Is there any way to force
> these kind of algorithms to not change the storage order? That would
> make passing the matrixes to the native dgemm oper
On Apr 1, 2015 12:55 PM, wrote:
>
> On Wed, Apr 1, 2015 at 3:47 PM, Nathaniel Smith wrote:
> > On Wed, Apr 1, 2015 at 11:34 AM, Jaime Fernández del Río
> > wrote:
> >> This question on StackOverflow:
> >>
> >>
http://stackoverflow.com/questions/29394377/minimum-of-numpy-array-ignoring-diagonal
>
On Wed, Apr 1, 2015 at 3:47 PM, Nathaniel Smith wrote:
> On Wed, Apr 1, 2015 at 11:34 AM, Jaime Fernández del Río
> wrote:
>> This question on StackOverflow:
>>
>> http://stackoverflow.com/questions/29394377/minimum-of-numpy-array-ignoring-diagonal
>>
>> Got me thinking that I had finally found a
On Wed, Apr 1, 2015 at 11:34 AM, Jaime Fernández del Río
wrote:
> This question on StackOverflow:
>
> http://stackoverflow.com/questions/29394377/minimum-of-numpy-array-ignoring-diagonal
>
> Got me thinking that I had finally found a use for the 'where' kwarg of
> ufuncs. Unfortunately it is only
Another usecase would be for MaskedArrays. ma.masked_array.min() wouldn't
have to make a copy anymore (there is a github issue about that). It could
just pass its mask into the where= argument of min() and be done with it.
Problem would be generalizing situations where where= effectively results
in
On Wed, Apr 1, 2015 at 11:55 AM, Sturla Molden
wrote:
> Charles R Harris wrote:
>
> > I'd be
> > interested in information from anyone with experience in using such an
> IDE
> > and ideas of how Numpy might make using some of the common IDEs easier.
> >
> > Thoughts?
>
> I guess we could include
This question on StackOverflow:
http://stackoverflow.com/questions/29394377/minimum-of-numpy-array-ignoring-diagonal
Got me thinking that I had finally found a use for the 'where' kwarg of
ufuncs. Unfortunately it is only provided for the ufunc itself, but not for
any of its methods.
Is there an
Charles R Harris wrote:
> I'd be
> interested in information from anyone with experience in using such an IDE
> and ideas of how Numpy might make using some of the common IDEs easier.
>
> Thoughts?
I guess we could include project files for Visual Studio (and perhaps
Eclipse?), like Python does
The PTVS can debug into native code.
On Wed, Apr 1, 2015 at 2:21 PM, wrote:
> On Wed, Apr 1, 2015 at 12:04 PM, Charles R Harris
> wrote:
> > Hi All,
> >
> > In a recent exchange Mark Wiebe suggested that the lack of support for
> numpy
> > development in Visual Studio might limit the number of
On Wed, Apr 1, 2015 at 12:04 PM, Charles R Harris
wrote:
> Hi All,
>
> In a recent exchange Mark Wiebe suggested that the lack of support for numpy
> development in Visual Studio might limit the number of developers attracted
> to the project. I'm a vim/console developer myself and make no claim o
Sorry for the OT and top-posting but,
It reminds me of "ITex" (https://www.youtube.com/watch?v=eKaI78K_rgA) ...
On Wed, Apr 1, 2015 at 6:43 PM, Yuxiang Wang wrote:
> That would really be hilarious - and "IFortran" probably! :)
>
> Shawn
>
> On Wed, Apr 1, 2015 at 12:07 PM, Benjamin Root wrote:
That would really be hilarious - and "IFortran" probably! :)
Shawn
On Wed, Apr 1, 2015 at 12:07 PM, Benjamin Root wrote:
> mixed C and python development? I would just wait for the Jupyter folks to
> create "IC" and maybe even "IC++"!
>
> On Wed, Apr 1, 2015 at 12:04 PM, Charles R Harris
> wrot
mixed C and python development? I would just wait for the Jupyter folks to
create "IC" and maybe even "IC++"!
On Wed, Apr 1, 2015 at 12:04 PM, Charles R Harris wrote:
> Hi All,
>
> In a recent exchange Mark Wiebe suggested that the lack of support for
> numpy development in Visual Studio might l
Hi All,
In a recent exchange Mark Wiebe suggested that the lack of support for
numpy development in Visual Studio might limit the number of developers
attracted to the project. I'm a vim/console developer myself and make no
claim of familiarity with modern development tools, but I wonder if such
t
On Wed, Apr 1, 2015 at 2:17 AM, R Hattersley wrote:
> There are two different interpretations in common use of how to handle
> multi-valued (array/sequence) indexes. The numpy style is to consider all
> multi-valued indices together which allows arbitrary points to be
> extracted. The orthogonal
There are two different interpretations in common use of how to handle
multi-valued (array/sequence) indexes. The numpy style is to consider all
multi-valued indices together which allows arbitrary points to be
extracted. The orthogonal style (e.g. as provided by netcdf4-python) is to
consider each
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