[mistercow]

Speed in Python (or Ruby, or JS) isn't a big deal... until it is. When that happens, would you rather have to switch over to C and glue the resulting binary in (assuming you're not using JS, in which case you're just SOL), or would you rather have a high performance API at your fingertips for optimization when you need it?

[pjscott]

Well, my usual answer there is to change the file extension to .pyx and see what Cython can do with a few type annotations. Usually the results are pretty good, and sometimes they're very good.

[mistercow]

I think most of the gains you'd get from that would be orthogonal to the gains you would get from giving the JIT a little more information about allocations.

[omaranto]

Does Cython give you much better results than PyPy? I would have thought that if just a few type annotations make a big difference tracing in PyPy could figure them out.

[pjscott]

I don't know. We're using a bunch of C extensions that aren't trivially compatible with PyPy, so using it isn't really an option -- which is a pity, since PyPy sounds pretty amazing. Cython, on the other hand, integrates really well with CPython, and it can be as fast as C if you need it to be. I'm pretty happy with it.