Hi all,
We are pleased to announce the release of the xtensor
<https://github.com/QuantStack/xtensor> library and its python bindings
xtensor-python <https://github.com/QuantStack/xtensor-python>, by Johan
Mabille (@JohanMabille) and Sylvain Corlay (@SylvainCorlay).
<https://
+1 on pybind11.
Sylvain
On Wed, Aug 31, 2016 at 1:28 PM, Michael Bieri wrote:
> Hi all
>
> There are several ways on how to use C/C++ code from Python with NumPy, as
> given in http://docs.scipy.org/doc/numpy/user/c-info.html . Furthermore,
> there's at least pybind11.
>
> I'm not quite sure wh
Hi Thomas,
This is great news!
FYI, the traitlets module has been undergoing significant refactoring
lately, improving the API to favor a broader usage in the community. One
reason for this is that several projects outside of the Jupyter
organization are considering adopting traitlets. You can f
I completely agree with Eelco. I expect numpy.mean to do something
simple and straightforward. If the naive method is not well suited for
my data, I can deal with it and have my own ad hoc method.
On Sat, Jul 26, 2014 at 3:19 PM, Eelco Hoogendoorn
wrote:
> Perhaps I in turn am missing something;
ect' support would be welcome of
> course.
>
> -n
>
> On Tue, Apr 15, 2014 at 11:30 PM, Sylvain Corlay
> wrote:
> > Hi,
> > Unfortunately, numpy ufuncs are incompatible with the inspect module.
> > While ufunc.nin and ufunc.nout provide some information on the
Hello all,
numpy.vectorize is a very convenient way to build universal function from
scalar functions, and handle broadcasting... A use case that is not handled
is the generalization to functions already returning nd array:
For example: If foo(x,y) is a scalar function returning a array of dim k,
Hi,
Unfortunately, numpy ufuncs are incompatible with the inspect module.
While ufunc.nin and ufunc.nout provide some information on the signature, I
don't see how to retrieve argument names. What is the preferred/best way to
get argument names of a numpy ufuncs?
Best,
Sylvain
_
Hello everyone,
0d arrays are very convenient because they allow us to write functions that
are valid for both arrays and scalar-like argument, thanks to Boolean
indexing.
However, most special functions in numpy (and scipy) and most Boolean
operators, when called on 0d arrays, return scalars rat
Congratulations to Carlos Jed and Pierre for this new release.
Best,
Sylvain
On Wednesday, May 8, 2013 11:15:20 AM UTC-4, Pierre Raybaut wrote:
>
> Hi all,
>
> On the behalf of Spyder's development team (
> http://code.google.com/p/spyderlib/people/list), I'm pleased to announce
> that Spyder
