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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 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 ...
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