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. > The only way that i know of to have a stable and usable abi is to wrap the > c++ code in c. Wrapping c++ libraries in python has always been a pain in > my experience. How are template or exceptions handled across languages ? it > will also be a significant issue on windows with open source compilers. > > Interestingly, the api from clang exported to other languages is in c... > The api isn't the same as the implementation language. I wouldn't prejudge these issues, but some indication of how they would be solved might be helpful. <snip> Chuck
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