On Wed, Sep 12, 2018 at 7:30 PM Stanley Seibert
wrote:
>
>
> On Wed, Sep 12, 2018 at 7:32 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Wed, Sep 12, 2018 at 6:26 PM Stanley Seibert
>> wrote:
>>
>>> If you go beyond the free tier, you can connect self-managed build
>>>
I'm still trying to wrap my head around the security model here. The
onboarding wizard makes it pretty easy to get started, but the UI
afterwards has a lot of complexity for managing fine grained permissions.
As I understand it, I made a "numba" project with my Microsoft account, but
I can add oth
Another minor annoyance is that the link on the Github "Checks" page that
says "View More Details on Azure Pipelines" takes you to a login page,
which then forwards you to the public (no login required) pipeline build
results page. As a result, people might not realize you can view the build
resul
On Thu, Sep 13, 2018 at 8:30 AM Stanley Seibert
wrote:
> Another minor annoyance is that the link on the Github "Checks" page that
> says "View More Details on Azure Pipelines" takes you to a login page,
> which then forwards you to the public (no login required) pipeline build
> results page. A
On Sat, Sep 8, 2018 at 7:12 PM Charles R Harris
wrote:
> On Wed, Aug 1, 2018 at 6:27 PM Stephan Hoyer wrote:
>
>> I propose to accept NEP-18, "A dispatch mechanism for NumPy’s high level
>> array functions":
>> http://www.numpy.org/neps/nep-0018-array-function-protocol.html
>>
>> Since the last
Thanks for adding the clarifications. They read well to me, and I think
make clear to a project like astropy what to expect (and I expect we'll be
use it!). -- Marten
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> On Thursday, Sep 13, 2018 at 7:30 PM, Stephan Hoyer (mailto:sho...@gmail.com)> wrote:
>
>
> On Sat, Sep 8, 2018 at 7:12 PM Charles R Harris (mailto:charlesr.har...@gmail.com)> wrote:
>
>
>
>
> > On Wed, Aug 1, 2018 at 6:27 PM Stephan Hoyer > (mailto:sho...@gmail.com)> wrote:
> >
> >
>
>
>
>
>
Hi all,
I have a long-standing PR to add a "weights" option to
np.quantile/percentile:
https://github.com/numpy/numpy/pull/9211
For a little background, there are quite a few ways to define "quantile" to
begin with. Numpy defines it the same way as R's default (Type 7):
https://www.rdocumentat
