On Wed, Aug 31, 2016 at 2:28 PM, Michael Bieri <mibi...@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
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
