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  1. The goal of this page is to point out some of the differences between running python with PyPy and with CPython. TL;DR¶ Pure python code works, but there are a few differences with object lifetime management. Modules that use the CPython C API will probably work, but will not achieve a speedup via the JIT.

    • Tags

      Skip to main content. Features. What is PyPy? Compatibility;...

    • Performance

      Profiling: vmprof ¶. As a general rule, when considering...

    • Contact

      irc: #pypy on irc.libera.chat mailing list: pypy-dev at...

    • Download

      PyPy latest; OS. PyPy3.10. PyPy2.7. Notes. Linux x86 64 bit....

    • How To Help

      Here are some ideas to help PyPy move forward: use pypy for...

    • Features

      PyPy implements Python 2.7.18 and 3.10.14. It supports all...

    • Archive

      A Faster Python. Skip to main content. Features. What is...

    • Sponsors

      PyPy has had many financial contributors in the past. We are...

  2. pypy.orgPyPy

    Compatibility: PyPy is highly compatible with existing python code. It supports cffi, cppyy, and can run popular python libraries like twisted, and django. It can also run NumPy, Scikit-learn and more via a c-extension compatibility layer. Stackless: PyPy comes by default with support for stackless mode, providing micro-threads for massive ...

  3. Jun 11, 2020 · PyPy aims for maximum compatibility with the reference CPython implementation while improving performance. If you are looking to increase performance of your Python code, it’s worth giving PyPy a try. On a suite of benchmarks, it’s currently over 5 times faster than CPython. PyPy supports Python 2.7. PyPy3, released in beta, targets Python 3.

  4. Sep 28, 2023 · With the release for 3.12 fairly imminent, are there any resources to help check if major packages are compatible? Clearly the best option is to try it oneself, and the picture is bound to change rapidly, but if there a…

  5. Jul 3, 2010 · PyPy is a Python interpreter, a drop-in replacement for CPython 2.7, 3.8 and 3.9. It’s fast ( PyPy and CPython 3.7.4 performance comparison) due to its integrated tracing JIT compiler. We also welcome developers of other dynamic languages to see what RPython can do for them.

  6. Jul 3, 2012 · The PyPy team is proud to release version 7.3.12 of PyPy. This release includes a new string-to-int algorithm (also appearing in CPython 3.12) that is faster than the older one; support for symlinks in Windows; and our first Python3.10 version.

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  8. Oct 23, 2020 · PyPy only supports one version of Python 2 and Python 3, which are PyPy 2.7 and PyPy 3.6. If the code that is executed in PyPy is pure Python, then the speed offered by PyPy is usually noticeable. But if the code contains C extensions, such as NumPy, then PyPy might actually increase the time.