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Turned off by default
- An experimental JIT (Just-in-time) compiler is now part of the main branch in Python. However, in Python 3.13, it is turned off by default. It is not part of the default build configuration and will likely stay that way in the foreseeable future. Users can enable JIT while building CPython by specifying the following flag.
www.infoq.com/news/2024/10/python-313-latest-features/
2 days ago · When CPython is configured and built using the --enable-experimental-jit option, a just-in-time (JIT) compiler is added which may speed up some Python programs. On Windows, use PCbuild/build.bat --experimental-jit to enable the JIT or --experimental-jit-interpreter to enable the Tier 2 interpreter.
Sep 18, 2024 · Get a sneak peek at the upcoming features in Python 3.13 aimed at enhancing performance. In this tutorial, you'll make a custom Python build with Docker to enable free threading and an experimental JIT compiler. Along the way, you'll learn how these features affect the language's ecosystem.
Oct 9, 2024 · Furthermore, Python 3.13 allows for the experimental disabling of the Global Interpreter Lock (GIL), alongside the introduction of a Just-in-Time (JIT) compiler, enhancing performance...
Sep 28, 2024 · It’s not just the GIL that’s a big change in this Python release – there’s also the addition into the Python interpreter of an experimental JIT compiler. What is a JIT? JIT stands for Just in Time and is a compilation technique where machine code is produced just in time to execute it, as opposed to ahead of time (AOT) like your ...
Oct 7, 2024 · A new JIT compiler, the first no-GIL edition of Python, better errors and typing enhancement, and the removal of dead batteries are all part of Python 3.13.
Jan 10, 2024 · The new JIT compiler is included in the plan for Python 3.13 and will be optional, requiring the CPython build to be configured with -enable-experimental-jit. The pull request with the initial code was submitted late last month by core Python developer Brandt Bucher.
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May 9, 2024 · CPython 3.13 comes with a JIT compiler (disabled by default for now). It doesn’t make things much faster yet, but the infrastructure is there. Just like the Specializing Adaptive Interpreter, it will slowly gain support for more Python and in theory make a future version faster.