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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 ...
Avec Python, on multiplie le temps de traitement par 2.84 pour passer de 500 000 à 5 000 000. La consommation mémoire, quant à elle, fait fois 5. Avec Pypy, le facteur de temps est de 8 et celui de ...
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 ...
PyPy is a drop-in replacement for the stock Python interpreter, and it runs many times faster on some Python programs. Python has earned a reputation for being powerful, flexible, and easy to work ...
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.
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