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  1. Mar 17, 2023 · Cython is a programming language that makes writing C extensions for the Python language as easy as Python itself. It aims to become a superset of the Python language which gives it high-level,...

  2. Aug 28, 2024 · This is where Cython comes into play—a powerful tool that allows Python code to be compiled into C, significantly boosting performance. In this article, we'll explore optimising Python code using Cython, covering the fundamentals, key benefits, and practical examples.

    • Overview
    • Installation:
    • License:
    • Contributing:
    • Differences to other Python compilers
    • Get the full source history:
    • The following is from Pyrex:

    Cython is a Python compiler that makes writing C extensions for Python as easy as Python itself. Cython is based on Pyrex, but supports more cutting edge functionality and optimizations.

    Cython translates Python code to C/C++ code, but additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code.

    This makes Cython the ideal language for wrapping external C libraries, and for fast C modules that speed up the execution of Python code.

    •Official website: https://cython.org/

    •Documentation: https://docs.cython.org/

    •Github repository: https://github.com/cython/cython

    If you already have a C compiler, just run following command:

    otherwise, see the installation page.

    The original Pyrex program was licensed "free of restrictions" (see below). Cython itself is licensed under the permissive Apache License.

    See LICENSE.txt.

    Want to contribute to the Cython project? Here is some help to get you started.

    Started as a project in the early 2000s, Cython has outlived most other attempts at producing static compilers for the Python language.

    Similar projects that have a relevance today include:

    •PyPy, a Python implementation with a JIT compiler.

    •Pros: JIT compilation with runtime optimisations, fully language compliant, good integration with external C/C++ code

    •Cons: non-CPython runtime, relatively large resource usage of the runtime, limited compatibility with CPython extensions, non-obvious performance results

    •Numba, a Python extension that features a JIT compiler for a subset of the language, based on the LLVM compiler infrastructure (probably best known for its clang C compiler). It mostly targets numerical code that uses NumPy.

    Note that Cython used to ship the full version control repository in its source distribution, but no longer does so due to space constraints. To get the full source history from a downloaded source archive, make sure you have git installed, then step into the base directory of the Cython source distribution and type:

    This is a development version of Pyrex, a language for writing Python extension modules.

    For more info, take a look at:

    •Doc/About.html for a description of the language

    •INSTALL.txt for installation instructions

    •USAGE.txt for usage instructions

    •Demos for usage examples

  3. Feb 28, 2022 · When you compile your code, you can add annotate=True to the cythonize call, and it will output a helpful HTML report, highlighting in yellow anywhere your code interacts with python, aka the slow parts. You can also click and expand any lines in the report to see the underlying C code.

  4. May 22, 2022 · CythonBuilder makes it easy to speed up our Python code using Cython. As we’ve seen just copying our Python code and building doubles the execution speeds! The greatest speed increase is by adding types; resulting in a 25x speed increase relative to vanilla Python.

  5. Jan 6, 2023 · A superset of Python that compiles to C, Cython combines the ease of Python with the speed of native code. Here's a quick guide to making the most of Cython in your Python programs.

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  7. Apr 21, 2021 · Converting code from pure Python to C with Cython can be useful. This article demonstrates how to do that part, yet there are Cython features to help you optimize your code before conversion, options to analyze your code to find when Cython interacts with C, and much more.

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