PyPy, the JIT-powered implementation of the Python language built for speed, continues to press the pedal to the metal and remains the easiest way to make Python fast and convenient. On average, PyPy ...

"description": "Antonio Cuni - Python and PyPy performance (not) for dummies\n[EuroPython 2015]\n[21 July 2015]\n[Bilbao, Euskadi, Spain]\n\nIn this talk we would like to have a short introduction on ...

SQLAlchemy seems to run quite a bit slower (2-3x) under PyPy. I've gathered some pstats profiles comparing the two. PyPy (latest nightly build) + SQLAlchemy (master ...

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Abstract: The use of Python as a high level productivity language on top of high performance libraries written in C++ requires efficient, highly functional, and easy-to-use cross-language bindings.