On Tue, 03 Jan 2017, Stephan Hoyer wrote:
> >> testing on stable debian box with elderly numpy, where it does behave
> >> sensibly:
> >> $> python -c "import numpy; print('numpy version: ', numpy.__version__);
> >> a=2; b=-2; print(pow(a,b)); print(pow(numpy.array(a), b))"
> >> ('numpy version:
On Tue, Jan 3, 2017 at 3:05 PM, Nathaniel Smith wrote:
> It's possible we should back off to just issuing a deprecation warning in
> 1.12?
>
> On Jan 3, 2017 1:47 PM, "Yaroslav Halchenko" wrote:
>
>> hm... testing on current master (first result is from
It's possible we should back off to just issuing a deprecation warning in
1.12?
On Jan 3, 2017 1:47 PM, "Yaroslav Halchenko" wrote:
>
> On Tue, 03 Jan 2017, Stephan Hoyer wrote:
>
> >On Tue, Jan 3, 2017 at 9:00 AM, Yaroslav Halchenko <
> li...@onerussian.com>
> >
On Tue, 03 Jan 2017, Stephan Hoyer wrote:
>On Tue, Jan 3, 2017 at 9:00 AM, Yaroslav Halchenko
>wrote:
> Sorry for coming too late to the discussion and after PR "addressing"
> the issue by issuing an error was merged [1].A I got burnt by new
>
There's a good chance that bokeh.charts will be split off into a separately
distributed package as well. Hopefully being a much smaller, pure Python
project makes it a more accessible target for anyone interested in maintaining
it, and if no one is interested in it anymore, well that fact
On Mon, 2 Jan 2017 18:46:08 -0800
Nathaniel Smith wrote:
>
> So some options include:
> - make the default integer precision 64-bits everywhere
> - make the default integer precision 32-bits on 32-bit systems, and
> 64-bits on 64-bit systems (including Windows)
Either of those
That's not a bad idea. Matplotlib is currently considering something
similar for its mlab module. It has been there since the beginning, but it
is very outdated and very out-of-scope for matplotlib. However, there are
still lots of code out there that depends on it. So, we are looking to
split it
On Mon, Jan 2, 2017 at 8:36 PM, Charles R Harris
wrote:
> Hi All,
>
> Just throwing this click bait out for discussion. Now that the `@`
> operator is available and things seem to be moving towards Python 3,
> especially in the classroom, we should consider the real
On Tue, Jan 3, 2017 at 10:08 AM, Sebastian Berg
wrote:
> On Mo, 2017-01-02 at 18:46 -0800, Nathaniel Smith wrote:
> > On Mon, Jan 2, 2017 at 6:27 PM, Charles R Harris
> > wrote:
> > >
> > > Hi All,
> > >
> > > Currently functions like trace
On Tue, Jan 3, 2017 at 9:00 AM, Yaroslav Halchenko
wrote:
> Sorry for coming too late to the discussion and after PR "addressing"
> the issue by issuing an error was merged [1]. I got burnt by new
> behavior while trying to build fresh pandas release on Debian (we are
>
On Mo, 2017-01-02 at 18:46 -0800, Nathaniel Smith wrote:
> On Mon, Jan 2, 2017 at 6:27 PM, Charles R Harris
> wrote:
> >
> > Hi All,
> >
> > Currently functions like trace use the C long type as the default
> > accumulator for integer types of lesser precision:
> >
On Tue, 11 Oct 2016, Peter Creasey wrote:
> >> I agree with Sebastian and Nathaniel. I don't think we can deviating from
> >> the existing behavior (int ** int -> int) without breaking lots of existing
> >> code, and if we did, yes, we would need a new integer power function.
> >> I think it's
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