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  1. Feb 24, 2011 · Make sure you have python-dev or python3-dev packages installed beforehand. 1) Create a very simple Python program called hello.py. $ cat hello.py. print ("Hello World!") 2) Use Cython to compile your python program into C... 3) Use GCC to compile hello.c into an executable file called hello...

    • 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

  2. Aug 28, 2024 · Create a Cython file: Save the following code in a file named example.pyx (note the .pyx extension): Python. def fibonacci(int n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2) Set up the build configuration: To use the Cython code, we need to compile it first. For that create a setup.py file and add the following code in it.

  3. 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. In Python world, this is commonly called as Cythonizing. The speed gain is great but it ...

  4. Feb 18, 2023 · Here’s an example of how to use Cython to improve the performance of a Python function: # example.pyx. def sum_cython(int n): cdef int i, s = 0. for i in range(n): s += i. return s. In this ...

  5. Aug 19, 2021 · To overcome the slowness of python, developers have created multiple. different compilers to compile python either to other programming languages, to machine code, or to do Just in Time compilation. Some of the popular python compilers include Cython, Nuitka, Brython, PyPy, and Iron Python. Alright, so where are we headed towards with so many ...

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  7. Aug 6, 2023 · C, on the other hand, is faster and can interact with hardware, but has a steep learning curve. Cython, a superset of Python, bridges the gap between Python and C or C++. Its aim is to make writing C extensions for Python as easy as Python itself. The rationale is that the C extensions can perform much more quickly as stand-alone modules than ...

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