[Python-Dev] Pyston: a Python JIT on LLVM

[Kevin Modzelewski]

Using optional type annotations is a really promising strategy and may
eventually be added to Pyston, but our primary target right now is
unmodified and untyped Python code.  I think there's room for both
approaches -- I think the "using type annotations to achieve near-native
performance" can be very useful ex. in a numerical computing context, but
might not apply as well to a "large web application" case.

On Thu, Apr 3, 2014 at 3:42 PM, Sturla Molden <sturla.molden at gmail.com>wrote:

> Kevin Modzelewski <kmod at dropbox.com> wrote:
>
> > Since it's the question that I think most people will inevitably (and
> > rightly) ask, why do we think there's a place for Pyston when there's
> PyPy
> > and (previously) Unladen Swallow?
>
> Have you seen Numba, the Python JIT that integrates with NumPy?
>
> http://numba.pydata.org
>
> It uses LLVM to compile Python bytecode. When I have tried it I tend to get
> speed comparable to -O2 in C for numerical and algorithmic code.
>
> Here is an example, giving a 150 times speed boost to Python:
>
>
> http://stackoverflow.com/questions/21811381/how-to-shove-this-loop-into-numpy/21818591#21818591
>
>
> Sturla
>
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