The funny thing is that any module that needs to be "fast" is written in C, and uses cpython's C-python interface. So a JIT for python can only act on half the code, and not the part that might need to be really fast.
Hence PyPy people rewriting CPython's C extensions in Python to make them fast. For example, rewriting JSON encoding from C to Python resulted in a decent speedup.
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The funny thing is that any module that needs to be "fast" is written in C, and uses cpython's C-python interface. So a JIT for python can only act on half the code, and not the part that might need to be really fast.
Hence PyPy people rewriting CPython's C extensions in Python to make them fast. For example, rewriting JSON encoding from C to Python resulted in a decent speedup.
http://morepypy.blogspot.com/2011/10/speeding-up-json-encodi...