namespace package
In Python, a namespace package is a type of package that allows you to split a single package across multiple directories.
Namespace packages are particularly useful when you want to distribute different parts of a package separately, or when you want to combine modules from different sources under a common namespace.
Unlike regular packages, namespace packages do not require an __init__.py
file, which makes them more flexible and manageable when dealing with large codebases or third-party libraries.
Namespace packages enable you to organize your code in a modular way, making it easier to scale and maintain. With namespace packages, you can have multiple directories on your sys.path
that contribute to the same package, and Python will seamlessly combine them at runtime.
Example
Suppose you have a project structure like this:
project_a/
└── namespace/
└── module_a.py
project_b/
└── namespace/
└── module_b.py
Assuming the parent directories have been added to sys.path
, both project_a
and project_b
contribute to the same namespace
package without requiring an __init__.py
file in the namespace/
directories. You can import modules from both projects like this:
# Importing module_a from project_a
from mynamespace import module_a
# Importing module_b from project_b
from namespace import module_b
This allows you to work with a unified namespace, where module_a
and module_b
coexist under namespace
.
Related Resources
Tutorial
What's a Python Namespace Package, and What's It For?
In this tutorial, you'll be exploring Python namespace packages: what they are, what they're for, and how you can use them in your package systems. Along the way, you'll create your own set of namespace packages and explore how you might be able to use them in your own projects.
For additional information on related topics, take a look at the following resources:
- Python Modules and Packages – An Introduction (Tutorial)
- Python import: Advanced Techniques and Tips (Tutorial)
- Python Modules and Packages: An Introduction (Course)
- Python Modules and Packages (Quiz)
- Advanced Python import Techniques (Course)
- Python import: Advanced Techniques and Tips (Quiz)