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1. • • It actually isn't, anyway, it's implemented in RPython. RPython is runnable with a Python interpreter, but Python code is not able to be compiled by the RPython compiler (the PyPy translation framework).
     stackoverflow.com/questions/12645394/how-can-pypy-be-faster-than-cpython

     How can PyPy be faster than Cpython - Stack Overflow

2. stackoverflow.com › questions › 2591879python - PyPy -- How can it possibly beat CPython? - Stack ...

   stackoverflow.com › questions › 2591879

   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.

3. doc.pypy.org › en › latestFrequently Asked Questions — PyPy documentation

   doc.pypy.org › en › latest

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   3 days ago · To bootstrap from sources, PyPy can use either CPython 2.7 or PyPy 2.7. Cross-translation is not really supported: e.g. to build a 32-bit PyPy, you need to have a 32-bit environment.

4. Videos

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     Compile Python to C | cython, pypy,numba | python tutorials

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     PyPy: The FASTEST Python implementation

     May 29, 2023

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     "See CPython run: Getting to know your Python interpreter" - James Bennett (North Bay Python 2019)

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5. pypy.org › compatPython compatibility - PyPy

   pypy.org › compat

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   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. We encourage library authors to use CFFI and HPy instead.

6. doc.pypy.org › en › latestDifferences between PyPy and CPython

   doc.pypy.org › en › latest

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   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.

7. 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 · Python — CPython vs PyPy. 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...

8. www.digitalocean.com › getting-started-with-pypyGetting Started with PyPy - DigitalOcean

   www.digitalocean.com › getting-started-with-pypy

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   Oct 10, 2024 · PyPy is a Python implementation similar to CPython that is both compliant and fast. “Compliant” means that PyPy is compatible with CPython, as you can use nearly all CPython syntax in PyPy. There are some compatibility differences, as mentioned here. The most powerful advantage of PyPy is its speed.

9. People also ask

   Does PyPy run on CPython?

   • 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.

   PyPy -- How can it possibly beat CPython? - Stack Overflow

   stackoverflow.com/questions/2591879/pypy-how-can-it-possibly-beat-cpython

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   What is CPython vs PyPy?

   • Python — CPython vs PyPy. The most used reference implementation… | by Shlomi Boutnaru, Ph.D. | Medium 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).

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

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

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   Can I use CPython C API with PyPy?

   • Modules that use the CPython C API will probably work, but will not achieve a speedup via the JIT. We encourage library authors to use CFFI and HPy instead. If you are looking for how to use PyPy with the scientific python ecosystem, we encourage you to use conda, since they repackage common libraries like scikit-learn and SciPy for PyPy.

   Python compatibility - PyPy

   pypy.org/compat.html

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   Why is PyPy slower than CPython?

   • Long-term evidence is showing that PyPy runs certain Python codes slower than CPython and this drawback seems to be rooted very deeply in PyPy. Secondly, the current version of PyPy consumes much more memory than CPython in a rather large set of cases. So PyPy didn't solve the memory consumption problem yet.

   Why shouldn't I use PyPy over CPython if PyPy is 6.3 times faster?

   stackoverflow.com/questions/18946662/why-shouldnt-i-use-pypy-over-cpython-if-pypy-is-6-3-times-faster

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   Why do some programs still depend on CPython?

   • Some programs may still depend on CPython's unique features that are absent in PyPy such as C bindings, C implementations of Python object&methods, or the incremental nature of CPython's garbage collector. This answer does not cite any benchmarks or provide references.

   Why shouldn't I use PyPy over CPython if PyPy is 6.3 times faster?

   stackoverflow.com/questions/18946662/why-shouldnt-i-use-pypy-over-cpython-if-pypy-is-6-3-times-faster

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   Why is PyPy not compatible with CPython?

   • A: PyPy isn't 100% compatible with CPython because it isn't simulating CPython under the hood. Some programs may still depend on CPython's unique features that are absent in PyPy such as C bindings, C implementations of Python object&methods, or the incremental nature of CPython's garbage collector.

   Why shouldn't I use PyPy over CPython if PyPy is 6.3 times faster?

   stackoverflow.com/questions/18946662/why-shouldnt-i-use-pypy-over-cpython-if-pypy-is-6-3-times-faster

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10. blog.devgenius.io › introduction-to-pypy-2db485a058caUnlocking Python Performance: An In-Depth Guide to PyPy and ...

    blog.devgenius.io › introduction-to-pypy-2db485a058ca

    Apr 16, 2023 · Although PyPy is compatible with most Python code, it has limitations in terms of compatibility with the latest versions of the CPython ecosystem. This article delves into the details of PyPy, its motivation, and the RPython toolchain that powers it.