Hi,
On Mon, Jun 20, 2016 at 6:31 AM, Evgeni Burovski
wrote:
> Hi,
>
> I'm pleased to announce the availability of the first release
> candidate for scipy 0.18.0.
> Please try this release and report any issues on Github tracker,
> https://github.com/scipy/scipy, or scipy-dev mailing list.
> Sourc
On Mo, 2016-06-20 at 15:15 -0700, Nathaniel Smith wrote:
> On Mon, Jun 20, 2016 at 3:09 PM, wrote:
> >
> > On Mon, Jun 20, 2016 at 4:31 PM, Alan Isaac
> > wrote:
> > >
> > > On 6/13/2016 1:54 PM, Marten van Kerkwijk wrote:
> > > >
> > > >
> > > > 1. What in principle is the best return type
On Mon, Jun 20, 2016 at 3:09 PM, wrote:
> On Mon, Jun 20, 2016 at 4:31 PM, Alan Isaac wrote:
>> On 6/13/2016 1:54 PM, Marten van Kerkwijk wrote:
>>>
>>> 1. What in principle is the best return type for int ** int (which
>>> Josef I think most properly rephrased as whether `**` should be
>>> thou
On Mon, Jun 20, 2016 at 4:31 PM, Alan Isaac wrote:
> On 6/13/2016 1:54 PM, Marten van Kerkwijk wrote:
>>
>> 1. What in principle is the best return type for int ** int (which
>> Josef I think most properly rephrased as whether `**` should be
>> thought of as a float operator, like `/` in python3 a
On Mon, Jun 20, 2016 at 2:11 PM, Alan Isaac wrote:
> On 6/10/2016 8:28 PM, Allan Haldane wrote:
>>
>> My understanding is that numpy never upcasts based on the values, it
>> upcasts based on the datatype ranges.
>>
>> http://docs.scipy.org/doc/numpy-1.10.1/reference/ufuncs.html#casting-rules
>
>
>
On 6/10/2016 8:28 PM, Allan Haldane wrote:
My understanding is that numpy never upcasts based on the values, it
upcasts based on the datatype ranges.
http://docs.scipy.org/doc/numpy-1.10.1/reference/ufuncs.html#casting-rules
>>> (np.int64(2**6)*np.arange(5,dtype=np.int8)).dtype
dtype('int8')
On 6/13/2016 1:54 PM, Marten van Kerkwijk wrote:
1. What in principle is the best return type for int ** int (which
Josef I think most properly rephrased as whether `**` should be
thought of as a float operator, like `/` in python3 and `sqrt` etc.);
Perhaps the question is somewhat different.
Hi,
I'm pleased to announce the availability of the first release
candidate for scipy 0.18.0.
Please try this release and report any issues on Github tracker,
https://github.com/scipy/scipy, or scipy-dev mailing list.
Source tarballs and release notes are available from Github releases,
https://gi
