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  1. 6 days ago · CPython extension modules in PyPy are often much slower than in CPython due to the need to emulate refcounting. It is often faster to take out your c-extension and replace it with a pure python or CFFI version that the JIT can optimize.

  2. Jul 3, 2016 · PyPy is a Python interpreter, a drop-in replacement for CPython It’s fast (PyPy and CPython 3.7.4 performance comparison) due to its integrated tracing JIT compiler. We also welcome developers of other dynamic languages to see what RPython can do for them. We provide binary builds for: 64-bit ARM machines running Linux (aarch64).

  3. Highlights of this release are compatibility with HPy-0.9, cffi 1.16, additional C-API interfaces, and more python3.10 fixes. The release includes three different interpreters: PyPy3.9, which is an interpreter supporting the syntax and the features of Python 3.9, including the stdlib for CPython 3.9.18.

    • Benchmark Structure
    • Results
    • Conclusions

    Source code: https://github.com/yanto77/cpp-python-binding-benchmark. The benchmark implements two test scenarios – generation of Mandelbrot set image and simulation of Conway’s Game Of Life. Both scenarios consist of Python scripts with different complexity (single, simple, complex), a set of interop modules (only one is used at a time), and the C...

    The results below show how long it takes to run the main part of the testing scripts, for different scenarios and different interop modules. The cpp entry is the baseline that implements the functionality with only C++. The cpy_* and pypy_*entries are the test scripts executed with CPython (3.10.4) and PyPy (7.3.9), respectively. Clicking on the im...

    This started as a study of how to do Python bindings for C++ codebase. It became more clear to me that the question of providing bindings does not have a single definitive answer, but instead a range of options, each with their benefits, issues, and history. The benchmark is a personal attempt of making sense of these different projects. In additio...

  4. May 4, 2023 · A combination of packages that haven't changed in years suddenly have started to install PyPy instead of CPython suddenly in newly created environments. The specfic example (with conda-forge as an added channel):

  5. CFFI is tested with CPython 3.8-3.12. The core speed of CFFI is better than ctypes, with import times being either lower if you use the post-1.0 features, or much higher if you don’t. The wrapper Python code you typically need to write around the raw CFFI interface slows things down on CPython, but not unreasonably so.

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  7. Oct 9, 2021 · They are Python implementations, separate than CPython. Correction: Anaconda is a different distribution of Python, separate from the Python.org distribution. It still uses the CPython interpreter. There are also implementations of the Python language other than CPython, such as PyPy and IronPython.

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