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by mattj
5055 days ago
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First off, I really, really like pypy. It's been slowly taking over my data-massaging-type tasks, and consistently yields 5-10x speedups over cpython. That being said, I'm a little nervous about all the energy being exerted on novel multicore stuff. Pypy has always been somewhat of a research project, but it's so close to being usable in a mainstream setting. I'd love to see them getting it over the final few hurdles (an out of the box as-fast-as-simplejson json module being a major problem, better docs for performance tuning being the two I've noticed). |
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PyPy is quite friendly to new contributors, so if you want to help speed up JSON or improve docs, visit #pypy on freenode and offer to pitch in, and I'm sure some core developers will do their best to help you help them.
Or if you really want a feature but don't have time to work on it, see if any PyPy devs are accepting contract work. I suspect speeding up JSON wouldn't take one of the experts long, so it probably wouldn't cost you much.
Docs are more of a moving target: no matter how much you write, users will always want more (and then some of those complaining users will fail to actually read what you do write). There was a tutorial session at PyCon US this year about using PyPy to speed up Python code, and the video is on Youtube.