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- 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.
www.geeksforgeeks.org/optimizing-python-code-with-cython/
- 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.
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...
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.
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.
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May 28, 2022 · Cython is a super-set of the Python programming language, which acts as a middle-man between Python and C/C++. In short, Cython gives us a way to compile our Python code to C/C++. So it’s not really optimizing Python directly, rather it’s compiling it to a lower level language which runs faster.
