On Tue, Nov 27, 2012 at 3:51 PM, Peter Cock wrote:
> On Tue, Nov 27, 2012 at 9:25 PM, Anthony Scopatz
> wrote:
> > On Tue, Nov 27, 2012 at 2:08 PM, Fernando Perez
> > wrote:
> >>
> >> On Thu, Nov 22, 2012 at 1:30 AM, Peter Cock
> >> wrote:
> >>
> >> > Perhaps http://numfocus.org/ could take the
On Tue, Nov 27, 2012 at 9:25 PM, Anthony Scopatz wrote:
> On Tue, Nov 27, 2012 at 2:08 PM, Fernando Perez
> wrote:
>>
>> On Thu, Nov 22, 2012 at 1:30 AM, Peter Cock
>> wrote:
>>
>> > Perhaps http://numfocus.org/ could take them on, or the PSF?
>> > (even if they don't have a specific use in mind
On Tue, Nov 27, 2012 at 2:08 PM, Fernando Perez wrote:
> On Thu, Nov 22, 2012 at 1:30 AM, Peter Cock
> wrote:
>
> > Perhaps http://numfocus.org/ could take them on, or the PSF?
> > (even if they don't have a specific use in mind immediately)
> > For the short them I'd just have them redirect to w
On Thu, Nov 22, 2012 at 1:30 AM, Peter Cock wrote:
> Perhaps http://numfocus.org/ could take them on, or the PSF?
> (even if they don't have a specific use in mind immediately)
> For the short them I'd just have them redirect to www.scipy.org ;)
I asked on the numfocus list and nobody was really
On Mon, 2012-11-26 at 13:54 -0500, Skipper Seabold wrote:
> I discovered this because scipy.optimize.fmin_powell appears to
> squeeze 1d argmin to 0d unlike the other optimizers, but that's a
> different story.
>
>
> I would expect the 0d array to behave like the 1d array not the 2d as
> it does
Hi Tom,
you can start reading here:
https://github.com/numpy/numpy/issues/2761#issuecomment-10672029
:-)
Christoph
On Nov 27, 2012, at 1:27 PM, Thomas Robitaille
wrote:
> Hi everyone,
>
> I'm currently having issues with installing Numpy 1.6.2 with Python
> 3.1 and 3.2 using pip in Travis b
On Tue, Nov 27, 2012 at 12:27 PM, Thomas Robitaille
wrote:
> Hi everyone,
>
> I'm currently having issues with installing Numpy 1.6.2 with Python
> 3.1 and 3.2 using pip in Travis builds - see for example:
>
> https://travis-ci.org/astropy/astropy/jobs/3379866
>
> The build aborts with a cryptic m
Hi everyone,
I'm currently having issues with installing Numpy 1.6.2 with Python
3.1 and 3.2 using pip in Travis builds - see for example:
https://travis-ci.org/astropy/astropy/jobs/3379866
The build aborts with a cryptic message:
ValueError: underlying buffer has been detached
Has anyone seen
