Let's Write an LLVM Specializer for Python

Interesting. I currently use Python's AST to convert some nested logical query expression (in a syntax unique to my application) into bytecode executed by a specialized VM (I originally tried using V8 and LuaJit for this but performance wise that was unsuccessful; the project replaced some old Boost::Python C++ code). This article should make it easy to get started attempting an LLVM replacement.

I recommand David Beazley's talk from a recent PyCon India on a similar subject : https://youtu.be/r-A78RgMhZU Mostly live coded, it really is pretty amazing but also quite insightful.

If this is of interest for you, I can only recommend you to check out numba: http://numba.pydata.org/ "Numba works by generating optimized machine code using the LLVM compiler infrastructure at import time, runtime, or statically (using the included pycc tool). Numba supports compilation of Python to run on either CPU or GPU hardware, and is designed to integrate with the Python scientific software stack."