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" <[email protected]> wrote: Brett Cannon <[email protected]> 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 _______________________________________________ Python-Dev mailing list [email protected] https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/wes.turner%40gmail.com
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