numba

* http://numba.pydata.org/numba-doc/0.16.0/modules/numba.html#module-numba.bytecode
* https://github.com/numba/numba/blob/master/numba/bytecode.py

pypy

* http://doc.pypy.org/en/latest/interpreter.html
* http://aosabook.org/en/pypy.html

... http://compilers.pydata.org/ #Bytecode Utilities

On Dec 28, 2015 1:33 PM, "Sturla Molden" <sturla.molden@gmail.com> wrote:
Brett Cannon <brett@python.org> wrote:

> Ned also neglected to mention his byterun project which is a pure Python
> implementation of the CPython eval loop: <a
> href="https://github.com/nedbat/byterun">https://github.com/nedbat/byterun</a>

I would also encourage you to take a look at Numba. It is an LLVM based JIT
compiler for Python bytecode, written for hardcore numerical algorithms in
Python. It can often achieve the same performance as -O2 in C after a short
burn-in while inferring the types of the arguments and variables. Using it
is mostly as easy as adding an @numba.jit decorator to the function we want
to accelerate. Numba is rapidly becoming what Google's long dead swallow
should have been.

:-)

Sturla

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