Cython
cython.readthedocs.io › en › latest › src › tutorial › cython_tutorial.html
Basic Tutorial — Cython 3.3.0a0 documentation
This syntax is mostly used in older code bases and in Cython modules that need to make use of advanced C or C++ features when interacting with C/C++ libraries. The additions to the syntax require a different file format, thus the .pyx extension: Python code ‘extended’. For this tutorial, assuming you have a Python programming background, it’s probably best to stick to the Python syntax examples and glimpse at the Cython specific syntax for comparison.
Peterbaumgartner
peterbaumgartner.com › blog › an introduction to just enough cython to be useful
An Introduction to Just Enough Cython to be Useful | Peter Baumgartner
March 1, 2022 - In this blog post I’ll walk you ... first problem from Advent of Code 2021. The problem is to take a list of integers (depths) and count the number of times each value in the list is higher than the previous value....
Writing entire programs in Cython
If you want speed in your code, consider straight up learning c or c++ More on reddit.com
"Modern" way to build packages with C (Cython) extensions - Packaging - Discussions on Python.org
TL;DR How the heck does one set up and build a complex package with Cython and C++ and all that with the modern tools? NOTE: I’ve been scouring the net looking for up to date information on this, and have found nada, zip., zilch. This page looked promising: https://packaging.python.org/e... More on discuss.python.org
Does anyone know Cython?
Hello, Does anyone use that ? Can that be usefull for WPFs ? Is a pythoncode even to handle with that ? Or is this even out of range regarding pyRevit. https://cython.readthedocs.io/en/latest/index.html https://cython.readthedocs.io/en/latest/src/tutorial/cython_tutorial.html More on discourse.pyrevitlabs.io
Cython Tutorial: Fast & Efficient Python
I love cython. The speed boost is insane.
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DigitalOcean
digitalocean.com › community › tutorials › boosting-python-scripts-cython
Boosting Python Scripts With Cython | DigitalOcean
May 2, 2025 - Cython is an easy way to significantly lessen the computation time of Python scripts without sacrificing the functionality that is easily achieved using Python. This tutorial will introduce you to using Cython to speed up Python scripts. We’ll look at a simple yet computationally expensive ...
Cython
cython.readthedocs.io › en › latest › src › tutorial
Tutorials — Cython 3.2.0a0 documentation
This version of the documentation is for the latest and greatest in-development branch of Cython.
Reddit
reddit.com › r/python › writing entire programs in cython
r/Python on Reddit: Writing entire programs in Cython
November 23, 2021 -
Hello everyone. I recently figured out how to use cython to speed up python programs, but there's one idea I have which is using cython to completely write python programs.
Cython is around 6.5 times faster than python (according to google) and nearly every function and module in python can be run in cython (if I'm correct), so I see why not to write my python scripts in cython completely and call them in regular python.
Is this a good idea? Would it be better to stick to regular python and only use cython when necessary? Or should I just use cython for every script I want to write?
Thanks in advance.
Cython
docs.cython.org › en › latest › src › tutorial › index.html
Tutorials — Cython 3.3.0a0 documentation
Cython 3.3.0a0 documentation » · Tutorials · 🤝 Like the tool? Help make it better! Your donation helps! 🤝 · Basic Tutorial · The Basics of Cython · Cython Hello World · Fibonacci Fun · Primes · Primes with C++ Language Details · Calling C functions ·
Nyu-cds
nyu-cds.github.io › python-cython
Introduction to Cython
March 8, 2017 - The examples in this lesson can be run directly using the Python interpreter, using IPython interactively, or using Jupyter notebooks. Anaconda users will already have Cython installed. You will also need a functioning C compiler to be able to use Cython.
Python.org
discuss.python.org › packaging
"Modern" way to build packages with C (Cython) extensions - Packaging - Discussions on Python.org
March 12, 2022 - TL;DR How the heck does one set up and build a complex package with Cython and C++ and all that with the modern tools? NOTE: I’ve been scouring the net looking for up to date information on this, and have found nada, zip., zilch. This page looked promising: https://packaging.python.org/e...
Narkive
cython-users.narkive.com › ZHlxvXtl › how-do-you-run-cython-in-windows
How do you run Cython in Windows?
Post by Canon If anyone is curious or ran into problems later on, here's 2 points that Unable to find vcvarsall.bat then you need to set minigw as the compiler, the following code should python setup.py build_ext --inplace --compiler=mingw32 2) The Cython tutorial I referenced earlier said you should see a .dll file after the Cython program compiles in Windows.
GitHub
github.com › cython › cython
GitHub - cython/cython: The most widely used Python to C compiler
This allows broad to fine-grained manual tuning that lets the compiler generate very efficient C code from Cython code.
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Languages Python 51.9% | Cython 38.3% | C 9.4% | C++ 0.3% | Shell 0.1% | Starlark 0.0%
Cython
cython.readthedocs.io › en › latest › src › quickstart › cythonize.html
Faster code via static typing — Cython 3.3.0a0 documentation
Building Cython code · Tutorials · Show Source · next · previous | Cython 3.3.0a0 documentation » · Getting Started » · Faster code via static typing · © Copyright 2025, Stefan Behnel, Robert Bradshaw, Dag Sverre Seljebotn, Greg Ewing, William Stein, Gabriel Gellner, et al..
GitHub
github.com › thearn › simple-cython-example
GitHub - thearn/simple-cython-example: A small project template that shows how to wrap C code into python using cython, along with other packaging concepts
A small template project that acts as a working tutorial on how to wrap C code into python using cython, and integrate the extensions into an installable module. This project uses Poetry for dependency management and packaging.
Starred by 136 users
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Languages Python 63.4% | Cython 35.4% | C 1.2%