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Jun 5, 2016 · Cython is different. It works for CPython. Allows you to write some code in Python like syntax (with static typing and other syntactic differences). Cython compiles these codes to C and gains a performance boost. CPython and Jython are simply Python, one written in C, one in Java. –
Yes, Cython is for modules, but if you didn't have to worry about the bottle neck of python calling the compiled extensions, would Cython hold its own in either performance or speed, when compared to Java?
Jul 19, 2024 · Key Features of Cython: Static Typing: Supports optional static type declarations, allowing for significant speed improvements. C/C++ Integration: Enables tight integration with external C libraries. Compilation to C: Translates Python code to C code, which is then compiled to machine code.
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.
- 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
Aug 28, 2024 · How Cython Enhances Speed. 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.
People also ask
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Cython: The Bridge Between Python and C. Cython acts as a bridge between Python and C, allowing developers to leverage the best of both worlds. Python offers developers simplicity and ease of use, while C provides unparalleled performance.
