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      • For General Use: CPython is often the best choice due to its compatibility and the vast ecosystem of libraries and tools. For Performance-Sensitive Applications: PyPy can be a better choice if your application can benefit from JIT compilation, especially if it is long-running and computationally intensive.
  1. PyPy is written in Restricted Python. It does not run on top of the CPython interpreter, as far as I know. Restricted Python is a subset of the Python language. AFAIK, the PyPy interpreter is compiled to machine code, so when installed it does not utilize a python interpreter at runtime.

  2. This page documents the few differences and incompatibilities between the PyPy Python interpreter and CPython. Some of these differences are “by design”, since we think that there are cases in which the behaviour of CPython is buggy, and we do not want to copy bugs.

  3. Mar 16, 2024 · Definition: PyPy is an alternative implementation of Python, featuring a Just-In-Time (JIT) compiler designed to execute Python code faster than CPython. Performance: PyPy can significantly outperform CPython on long-running programs due to its JIT compiler, which optimizes frequently executed code.

  4. Sep 19, 2022 · The most used reference implementation is for Python, probably CPython. It is written in C and Python and includes an interpreter and a compiler (for Python bytecode).

  5. Aug 2, 2023 · Whereas CPython compiles Python to intermediate bytecode that is then interpreted by a virtual machine, PyPy uses just-in-time (JIT) compilation to translate Python code into machine-native...

  6. Dec 12, 2021 · Conclusion. For most purposes, CPython is the implementation you should be using, unless you have a specific reason to use another implementation as described above. Need Help? Open a discussion thread on GitHub. A short introduction to the different Python implementations.

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  8. Jun 21, 2024 · However, Cpython is the default and most widely used implementation of the Python language. It's written in C and serves as a reference point for other Python implementations. In this article, we will go through the major differences between Python and Cpython in depth.

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