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1. peps.python.org › pep-0744PEP 744 – JIT Compilation | peps.python.org

   peps.python.org › pep-0744

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   Apr 11, 2024 · Since it should always be possible to build CPython without the JIT, removing JIT support for a platform should not be considered a backwards-incompatible change. However, if it is reasonable to do so, the normal deprecation process should be followed as outlined in PEP 387.

   • PEP 744: JIT Compilation - PEPs - Discussions on Python.org

     PEP 744 is an informational PEP answering many common...

2. stackoverflow.com › questions › 13034991Does the Python 3 interpreter have a JIT feature? - Stack ...

   stackoverflow.com › questions › 13034991

   Oct 23, 2012 · To answer the question you meant to ask: CPython, 3.x or otherwise, does not, never did, and likely never will, contain a JIT compiler. Some other Python implementations (PyPy natively, Jython and IronPython by re-using JIT compilers for the virtual machines they build on) do have a JIT compiler.

3. www.reddit.com › why_doesnt_cpython_use_a_jitWhy doesn't CPython use a JIT? : r/learnpython - Reddit

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   To expand on previous replies a little, a JIT would have to do a lot of work checking for attributes, types, etc, due to the dynamic nature of python. Smart move is to call functions in a support library to do that. But that's exactly what the cpython interpreter is already doing, so a JIT won't speed things up all that much for standard python.

4. discuss.python.org › t › pep-744-jit-compilationPEP 744: JIT Compilation - PEPs - Discussions on Python.org

   discuss.python.org › t › pep-744-jit-compilation

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   Apr 12, 2024 · PEP 744 is an informational PEP answering many common questions about CPython 3.13’s new experimental JIT compiler. My main goal for this PEP is to build community consensus around the specific criteria that the JIT should meet in order to become a permanent, non-experimental part of CPython. The “Specification” section lists three basic requirements as a starting point, but I expect ...

5. github.com › python › cpythoncpython/Doc/whatsnew/3.13.rst at main · python/cpython

   github.com › python › cpython

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   When CPython is configured and built using the :option:`!--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.

6. medium.com › @boutnaru › python-cpython-vs-pypy-c2cePython — CPython vs PyPy. The most used reference ... - Medium

   medium.com › @boutnaru › python-cpython-vs-pypy-c2ce

   Sep 19, 2022 · It is written in C and Python and includes an interpreter and a compiler (for Python bytecode). There is no built-in JIT (Just in Time Compiling) for CPython (meaning it does not compile the code ...

7. People also ask

   Can CPython be built without JIT?

   • Since it should always be possible to build CPython without the JIT, removing JIT support for a platform should not be considered a backwards-incompatible change. However, if it is reasonable to do so, the normal deprecation process should be followed as outlined in PEP 387.

   PEP 744 – JIT Compilation | peps.python.org

   peps.python.org/pep-0744/

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   Does CPython support JIT?

   • There is no built-in JIT (Just in Time Compiling) for CPython (meaning it does not compile the code to machine instructions for a specific CPU). On the other hand, there is PyPy which is another implementation of Python that supports JIT (and thus is faster — look at the example shown in the screenshot below).

   Python — CPython vs PyPy. The most used reference ... - Medium

   medium.com/@boutnaru/python-cpython-vs-pypy-c2ce35e68809

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   Does Python have a JIT compiler?

   • Some other Python implementations (PyPy natively, Jython and IronPython by re-using JIT compilers for the virtual machines they build on) do have a JIT compiler. And there is no reason their JIT compilers would stop working when they add Python 3 support. But while I'm here, also let me address a misconception:

   Does the Python 3 interpreter have a JIT feature?

   stackoverflow.com/questions/13034991/does-the-python-3-interpreter-have-a-jit-feature

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   Does Python need a JIT?

   • At best, it should be on par with plain Python without the JIT, which is an achievement in itself considering the extra steps involved. The long-term plan is to enhance Python’s JIT to the point where it actually makes a noticeable difference in code execution performance without taking much additional memory.

   Python 3.13 Preview: Free Threading and a JIT Compiler

   realpython.com/python313-free-threading-jit/

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   Which Python implementation has a JIT?

   • The only Python implementation that has a JIT is PyPy. Byt - PyPy is both a Python 2 implementation and a Python 3 implementation. There is now an experimental jit on the rust python interpreter github.com/RustPython/RustPython. The Numba project should work on Python 3.

   Does the Python 3 interpreter have a JIT feature?

   stackoverflow.com/questions/13034991/does-the-python-3-interpreter-have-a-jit-feature

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   What is a JIT in Python?

   • A JIT is a way of increasing performance in a lot of scenarios without loosing convenience for the programmers. The only Python implementation that has a JIT is PyPy. Byt - PyPy is both a Python 2 implementation and a Python 3 implementation. There is now an experimental jit on the rust python interpreter github.com/RustPython/RustPython.

   Does the Python 3 interpreter have a JIT feature?

   stackoverflow.com/questions/13034991/does-the-python-3-interpreter-have-a-jit-feature

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8. realpython.com › python313-free-threading-jitPython 3.13 Preview: Free Threading and a JIT Compiler

   realpython.com › python313-free-threading-jit

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   Sep 18, 2024 · Although the final release of Python 3.13 is scheduled for October 2024, you can download and install a preview version today to explore the new features.Notably, the introduction of free threading and a just-in-time (JIT) compiler are among the most exciting enhancements, both designed to give your code a significant performance boost.