ing the expected
> shapes in this annotation format.
>
> As for matplotlib, we would need to express much more complicated
> annotations, because our API is so flexible. It would be useful to keep an
> eye out to those needs as well.
>
> Cheers!
> Ben Root
>
>
> On F
numpy devs!
Best,
D.
[1] http://www.machinalis.com/blog/writing-type-stubs-for-numpy/
[2] https://github.com/machinalis/mypy-data/issues
On 29 Jul 2016 08:31, "Sebastian Berg" wrote:
> On Mi, 2016-07-27 at 20:07 +0100, Daniel Moisset wrote:
> >
> > Hi,
> >
>
Hi,
I work at Machinalis were we use a lot of numpy (and the pydata stack in
general). Recently we've also been getting involved with mypy, which is a
tool to type check (not on runtime, think of it as a linter) annotated
python code (the way of annotating python types has been recently
standarize
