Hacker News new | ask | show | jobs
by jd 6369 days ago
Take a look at the PyPy FAQ. They're using annotations, type inference assumptions, and so on. PyPy seems to be focused on a Jit-able subset of Python. It's not a project that can one day be transparently included in the new Python release.

JavaScript and Python are not that dissimilar. So we see similar results with JavaScript. People want performance, so a lot of projects are started where people attempt to JIT JavaScript - but in the 14 or so years of JS's existence JavaScript is still several orders of magnitude slower than less dynamic languages. Java and C# have never been as slow as JavaScript is today. Will JIT-ing JavaScript help? Sure. But -great- results? I wouldn't go that far.
2 comments
thorax 6368 days ago
Don't forget psyco's JIT which gives some impressive performance gains for a lot of different code. We use it while embedding Python in Counter-Strike Source and it performs admirably.
link
tocomment 6368 days ago
Someone needs to upgrade pyscho for 64 bit IIRC
link
jey 6368 days ago
No, PyPy is a full Python implementation that uses program analysis to identify and JIT the JITable parts of the code.

The FAQ says that PyPy is a drop-in replacement for CPython unless you depend on a CPython extension module. http://codespeak.net/pypy/dist/pypy/doc/faq.html#is-pypy-a-d...

link
jd 6368 days ago
The drop in replacement is slower than CPython. Likely to change in the future, but still.
link