On Tue, 31 Jul 2018 15:34:05 +0200 Victor Stinner <vstin...@redhat.com> wrote: > Antoine: would you mind to subscribe to the capi-sig mailing list? As > expected, they are many interesting points discussed here, but I would > like to move all C API discussions to capi-sig. I only continue on > python-dev since you started here (and ignored my request to start > discussing my idea on capi-sig :-)).
Well, I responded to your e-mail discussion thread. I see more messages in this thread here than on capi-sig. ;-) > For example, PyPy uses different memory allocators depending on the > scope and the lifetime of an object. I'm not sure that you can > implement such optimization if you are stuck with reference counting. But what does reference counting have to do with memory allocators exactly? > > OS vendors seem to be doing a fine job AFAICT. And if I want a recent > > Python I just download Miniconda/Anaconda. > > Is it used in production to deploy services? Or is it more used by > developers? I never used Anaconda. I don't know, but there's no hard reason why you couldn't use it to deploy services (though some people may prefer Docker or other technologies). > > I think you don't realize that the C API is *already* annoying. People > > started with it mostly because there wasn't a better alternative at the > > time. You don't need to make it more annoying than it already is ;-) > > > > Replacing existing C extensions with something else is entirely a > > developer time/effort problem, not an attractivity problem. And I'm > > not sure that porting a C extension to a new C API is more reasonable > > than porting to Cython entirely. > > Do you think that it's doable to port numpy to Cython? It's made of > 255K lines of C code. Numpy is a bit special as it exposes its own C API, so porting it entirely to Cython would be difficult (how do you expose a C macro in Cython?). Also, internally it has a lot of macro-generated code for specialized loop implementations (metaprogramming in C :-)). I suppose some bits could be (re)written in Cython. Actually, the numpy.random module is already a Cython module. > > It's just that I disagree that removing the C API will make CPython 2x > > faster. > > How can we make CPython 2x faster? Why everybody, except of PyPy, > failed to do that? Because PyPy spent years working full time on a JIT compiler. It's also written in (a dialect of) Python, which helps a lot with experimenting and building abstractions, compared to C or even C++. Regards Antoine. _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
