What are some advanced modularization techniques in Python?

What are some advanced modularization techniques in Python?

Advanced modularization techniques in Python include using packages, modules, and namespaces effectively. You can also leverage decorators and context managers to enhance modularity.

Can you explain how to create a package in Python?

To create a package in Python, you need to create a directory with an __init__.py file. This file can be empty or contain initialization code for the package.

What are namespaces and how do they help in modularization?

Namespaces in Python are containers that hold a set of identifiers and their corresponding objects. They help avoid naming conflicts and allow for better organization of code.

How can I use decorators for modularization?

Decorators allow you to modify the behavior of functions or methods. By using decorators, you can add functionality to your code in a modular way without changing the original function.