On Fri, Sep 2, 2016 at 1:16 AM, Peter Creasey <p.e.creasey...@googlemail.com > wrote:
> > 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. > Cython works really well for this. ctypes is a better option if you have a "black box" shared lib you want a call a couple functions in. Cython works better if you want to write a little "thicker" wrapper around youe C code -- i.e. it may do a scalar computation, and you want to apply it to an entire numpy array, at C speed. Either would work in this case, But I like Cyton better, as long as I don't have compilation issues. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov
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