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- A: Cython and JIT compilation, like those offered by Numba or PyPy, are both valid approaches to optimizing Python code. Cython is generally more suitable for cases where you need to integrate C/C++ code or libraries, while JIT compilation is more suitable for optimizing pure Python code without modifying the source code.
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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.
Aug 28, 2024 · Cython improves performance by compiling Python code into C, eliminating much of the overhead associated with Python's interpreted execution. In Cython, we can also add static type declarations, which allows the compiler to generate more efficient C code.
- 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
May 15, 2019 · Cython is an optimizing static compiler for the Python programming language and the Cython programming language, which is a superset of Python. What Cython does is convert your Python code to C and then build/compile it using a C compiler of your choice.
Aug 19, 2021 · Brief reviews on popular Python compilers like Cython, PyPy, and the default Python interpreter CPython.
Feb 28, 2022 · The main difference in a workflow that uses Cython is that a compilation step is now required. 1 2 I’ll assume you have are working through an IDE with typical python files. To get started, we’ll need to do three things: Install cython (pip install cython) Create a copy of your python code with a .pyx extension.
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Feb 18, 2023 · Cython is a popular optimizing static compiler that compiles Python code to C code, which can then be compiled into a native binary. It allows developers to write code in Python while...
