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I, for one, will certainly consider switching to pypy when they have a stable, usable implementation of numpy :)
by levesque 15y ago
I, for one, will certainly consider switching to pypy when they have a stable, usable implementation of numpy :)
- wladimir 15y agoYou can donate towards Numpy in Pypy on their main page.
- MostAwesomeDude 15y agoYou can also donate code. I chipped in a bit of work since I used Numpy at the time and needed a couple features. It's not that hard.
- kingkilr 15y agoThe NumPyPy codebase is fun! You can to learn a bit about all different parts of PyPy, you can play with jit stuff, Python interp stuff, or just plain numeric stuff. It's programmed in a pretty nice meta-programming way in Python, and it's very well tested.
- wisty 15y agoIt's likely to take a while. See Travis's post: http://technicaldiscovery.blogspot.com/2011/10/thoughts-on-porting-numpy-to-pypy.html http://technicaldiscovery.blogspot.com/2011/10/thoughts-on-p... There are two main problems he sees - numpy is a moving target (as it continues to evolve), and the C-API of numpy is one of its most useful features (as lots of numpy extensions like Scipy and matplotlib may require it).
- fijal 15y agoAs you might know, we disagree with Travis when it comes to timelines. C API is not really useful without CPython C API and we're trying hard to make pypy interoperate with C. Look for f2pypy for an example.