[Numpy-discussion] Proposed Roadmap Overview

[Charles R Harris]

On Fri, Feb 17, 2012 at 6:54 PM, Matthew Brett <matthew.brett at gmail.com>wrote:

> Hi,
>
> On Fri, Feb 17, 2012 at 4:58 PM, Charles R Harris
> <charlesr.harris at gmail.com> wrote:
> >
> >
> > On Fri, Feb 17, 2012 at 4:44 PM, David Cournapeau <cournape at 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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