Hi, On Fri, Feb 17, 2012 at 4:58 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > > > On Fri, Feb 17, 2012 at 4:44 PM, David Cournapeau <courn...@gmail.com> > wrote: >> >> I don't think c++ has any significant advantage over c for high >> performance libraries. I am not convinced by the number of people argument >> either: it is not my experience that c++ is easier to maintain in a open >> source context, where the level of people is far from consistent. I doubt >> many people did not contribute to numoy because it is in c instead if c++. >> While this is somehow subjective, there are reasons that c is much more >> common than c++ in that context. > > > I think C++ offers much better tools than C for the sort of things in Numpy. > The compiler will take care of lots of things that now have to be hand > crafted and I wouldn't be surprised to see the code size shrink by a > significant factor. >> >> I would much rather move most part to cython to solve subtle ref counting >> issues, typically. > > > Not me, I'd rather write most stuff in C/C++ than Cython, C is cleaner ;) > Cython good for the Python interface, but once past that barrier C is > easier, and C++ has lots of useful things.
Maybe a straw poll of the number of recent contributors to numpy who know: C C++ Cython would help resolve this. I suspect using C++ would reduce the number of people who feel able to contribute, compared to: Simplifying the C code Rewriting in Cython Unless there is some reason to think that neither of these approaches would work in the particular case of numpy? Best, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
