Definitely!
Thanks for the reminder.
Travis
--
Travis Oliphant
(on a mobile)
512-826-7480
On Feb 23, 2012, at 1:01 AM, Ralf Gommers wrote:
>
>
> On Thu, Feb 23, 2012 at 3:37 AM, Travis Oliphant wrote:
> Hey all,
>
> >From what I can tell, the master branch is still ABI compatible with N
On Thu, Feb 23, 2012 at 3:37 AM, Travis Oliphant wrote:
> Hey all,
>
> >From what I can tell, the master branch is still ABI compatible with
> NumPy 1.7. Is that true?
>
> I'd like to relabel the version of the master branch to 1.8.Does
> anyone see any problems with that?
>
Before we branc
Hey all,
>From what I can tell, the master branch is still ABI compatible with NumPy
>1.7. Is that true?
I'd like to relabel the version of the master branch to 1.8.Does anyone see
any problems with that?
Thanks,
-Travis
___
NumPy-Discuss
Hi Chao,
What do you want to do exactly?
Did look at GDAL http://www.gdal.org/ ?
Jonathan
On Wed, Feb 22, 2012 at 3:45 PM, Chao YUE wrote:
> Hi all,
>
> Is anyone using some python geospatial package that can do jobs like
> intersection, etc. the job is like you automatically extract a region
2012/2/22 Stéfan van der Walt :
> On Wed, Feb 22, 2012 at 2:47 PM, Matthew Brett
> wrote:
>> In [4]: np.array([2.1], dtype=np.longlong)
>> Out[4]: array([2], dtype=int64)
>
> Maybe just a typo:
>
> In [3]: np.array([2.1], dtype=np.longfloat)
> Out[3]: array([ 2.1], dtype=float128)
A thinko maybe
On Wed, Feb 22, 2012 at 2:47 PM, Matthew Brett wrote:
> In [4]: np.array([2.1], dtype=np.longlong)
> Out[4]: array([2], dtype=int64)
Maybe just a typo:
In [3]: np.array([2.1], dtype=np.longfloat)
Out[3]: array([ 2.1], dtype=float128)
Stéfan
___
NumPy-
On 02/22/2012 03:47 PM, Matthew Brett wrote:
> Hi,
>
> I was gaily using np.longlong for casting to the highest available
> float type when I noticed this:
>
> In [4]: np.array([2.1], dtype=np.longlong)
> Out[4]: array([2], dtype=int64)
>
> whereas:
>
> In [5]: np.array([2.1], dtype=np.float128)
>
Hi,
I was gaily using np.longlong for casting to the highest available
float type when I noticed this:
In [4]: np.array([2.1], dtype=np.longlong)
Out[4]: array([2], dtype=int64)
whereas:
In [5]: np.array([2.1], dtype=np.float128)
Out[5]: array([ 2.1], dtype=float128)
This on OSX snow leopard n
Hi all,
Is anyone using some python geospatial package that can do jobs like
intersection, etc. the job is like you automatically extract a region on a
global map etc.
thanks and cheers,
Chao
--
***
Chao YUE
Labor
On Wed, Feb 22, 2012 at 18:46, David Verelst wrote:
> Note sure if this already has been discussed, but it seems that latest
> Sphinx, 1.2predev-20120222 directly from their Hg repository, does not
> have this problem any more. While 1.2 failed to build the documentation
> on my en
Hi Perry,
On Wed, Feb 22, 2012 at 6:44 AM, Perry Greenfield wrote:
> I, like Travis, have my worries about C++. But if those actually doing
> the work (and particularly the subsequent support) feel it is the best
> language for implementation, I can live with that.
>
> I particularly like the in
Note sure if this already has been discussed, but it seems that latest
Sphinx, 1.2predev-20120222 directly from their Hg repository, does not
have this problem any more. While 1.2 failed to build the documentation
on my end, 1.2predev delivered a result.
Regards,
David
On 24/11/11 15:31
list
> NumPy-Discussion@scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
--
Fl?vio Code?o Coelho
+55(21) 3799-5567
Professor
Escola de Matem?tica Aplicada
Funda??o Get?lio Vargas
Rio de Janeiro - RJ
Brasil
-- next part --
An HTML
I have been working on an application somehow similar to his approach.
Instead of trying to explain what it is I will let you see it yourselves.
http://www.youtube.com/watch?v=rQUW5BvdIkc&list=UUiomLkTUHKpZohYYfj1WsMg&index=7&feature=plcp
http://www.youtube.com/watch?v=NjpUmSfo3mY&list=UUiomLkTUHK
I, like Travis, have my worries about C++. But if those actually doing
the work (and particularly the subsequent support) feel it is the best
language for implementation, I can live with that.
I particularly like the incremental and conservative approach to
introducing C++ that was proposed
It's great advice to say
avoid using new
instead rely on scope and classes such as std::vector.
I just want to point out, that sometimes objects must outlive scope.
For those cases, std::shared_ptr can be helpful.
___
NumPy-Discussion mailing list
N
Shouldn't be hard to implement as a set of plugins to an editor.
Hope someone starts such a project.
On Wed, Feb 22, 2012 at 00:31, wrote:
> This is the sort of programming environment I would love to have in
> python.
>
>
> http://flowingdata.com/2012/02/20/live-coding-and-inventing-on-princi
17 matches
Mail list logo
