Last modified: May 26, 2025 By Alexander Williams
How to Install Cython in Python
Cython is a powerful tool for optimizing Python code. It compiles Python to C for better performance. This guide will help you install Cython easily.
Prerequisites for Installing Cython
Before installing Cython, ensure you have Python installed. Check your Python version using python --version
.
You also need a C compiler. On Linux, install build-essential. On macOS, install Xcode. On Windows, install Visual Studio Build Tools.
For more details, see our guide on Install Python on Ubuntu in 5 Steps.
Install Cython Using pip
The easiest way to install Cython is with pip
. Run this command in your terminal:
pip install cython
This installs Cython globally. For local installation, use a virtual environment.
Verify Cython Installation
Check if Cython installed correctly. Run this Python code:
import cython
print("Cython version:", cython.__version__)
You should see the installed version number as output.
Install Cython in a Virtual Environment
For project-specific installation, use a virtual environment. First create one:
python -m venv myenv
source myenv/bin/activate # On Linux/macOS
myenv\Scripts\activate # On Windows
Then install Cython inside the activated environment.
Install Cython with Conda
If you use Anaconda, install Cython with:
conda install -c anaconda cython
This ensures compatibility with other Conda packages.
Compile Python Code with Cython
Here's a simple example. Create a file example.pyx:
def say_hello(name):
return f"Hello, {name}!"
Create a setup.py file:
from distutils.core import setup
from Cython.Build import cythonize
setup(ext_modules=cythonize("example.pyx"))
Compile with:
python setup.py build_ext --inplace
Troubleshooting Common Issues
If you get compiler errors, ensure you have all build tools installed. On Windows, install the correct Visual Studio version.
For permission errors, consider installing packages locally instead of globally.
Conclusion
Installing Cython is straightforward with pip
or conda
. It boosts Python performance significantly. Remember to install build tools first.
For more Python installation guides, check our article on installing multiple Python versions.