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 ...

JIT-powered Python engine PyPy was already fast, but version 2.4 charges further ahead, thanks to multithreaded optimizations Pythonistas wince when they hear the truism about Python being fast to ...

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Software transactional memory (STM) is an ambitious feature that is being worked on for the PyPy interpreter. STM is an alternative to locking that is meant to eventually replace the (in)famous global ...

Antonio Cuni, who is a longtime Python performance engineer and PyPy developer, gave a presentation at EuroPython 2025 about "Myths and fairy tales around Python performance" on the first day of the ...