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You can compile C code using only the standard library, and it will work on every platform and with every Python version (assuming you actually have a C compiler available). Check out the distutils.ccompiler module which Python uses to compile C extension modules.
Write and run your Python code using our online compiler. Enjoy additional features like code sharing, dark mode, and support for multiple programming languages.
- 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
Sep 28, 2020 · How to write your own C compiler from scratch with Python! Pasi Pyrrö. ·. Follow. 40 min read. ·. Sep 28, 2020. -- 1. A “brief” introduction to compiler design, implementation and...
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Mar 18, 2019 · Python ctypes will come to play but make sure the C code, that is to be converted, has been compiled into a shared library that is compatible with the Python interpreter (e.g., same architecture, word size, compiler, etc.).
