On Fri, Feb 17, 2012 at 6:54 PM, Matthew Brett <matthew.br...@gmail.com>wrote:
> 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? > > How about a different variation. How many people writing Python would happily give up the following: 1) lists 2) dictionaries 3) default types 4) classes 5) automatic dellocation of memory Chuck
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