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  1. 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.

  2. Jun 8, 2024 · Numba is an open-source just-in-time (JIT) compiler for Python. In simpler terms, it translates specific parts of your Python code into highly optimized machine code at runtime.

  3. Your source code remains pure Python while Numba handles the compilation at runtime. We test Numba continuously in more than 200 different platform configurations. Numba supports Intel and AMD x86, POWER8/9, and ARM CPUs (including Apple M1), NVIDIA GPUs, Python 3.9-3.12, as well as Windows/macOS/Linux.

  4. Apr 11, 2024 · This JIT, like any JIT, produces large amounts of executable data at runtime. This introduces a potential new attack surface to CPython, since a malicious actor capable of influencing the contents of this data is therefore capable of executing arbitrary code. This is a well-known vulnerability of JIT compilers.

  5. 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.

  6. Jan 9, 2024 · This is what a JIT does. There are many types of JIT compiler. Numba is a JIT. PyPy has a JIT. Java has lots of JITs. Pyston and Pyjion are JITs. The JIT that is proposed for Python 3.13 is a copy-and-patch JIT. What is a copy-and-patch JIT?¶ Never heard of a copy-and-patch JIT? Don’t worry, nor had I and nor have most people.

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  8. Pyjion is a drop-in JIT Compiler for Python 3.10. It can be pip installed into a CPython 3.10 installation on Linux, Mac OS X, or Windows. Pyjion can make your Python code execute faster without any code changes. Profile Guided JIT Compiler. Native 64-bit float and integer support. Windows, macOS and Linux. Intel and ARM CPU support.

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