[Numpy-discussion] State-of-the-art to use a C/C++ library from Python

[David Morris]

On Wed, Aug 31, 2016 at 2:28 PM, Michael Bieri <mibieri at gmail.com> 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 which approach is state-of-the-art as of 2016. How
> would you do it if you had to make a C/C++ library available in Python
> right now?
>
> In my case, I have a C library with some scientific functions on matrices
> and vectors. You will typically call a few functions to configure the
> computation, then hand over some pointers to existing buffers containing
> vector data, then start the computation, and finally read back the data.
> The library also can use MPI to parallelize.
>

I have been delighted with Cython for this purpose.  Great integration with
NumPy (you can access numpy arrays directly as C arrays), very python like
syntax and amazing performance.

Good luck,

David
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