What are the best practices for modular programming in Python?

What are the best practices for modular programming in Python?

Modular programming in Python involves breaking your code into smaller, manageable pieces. Best practices include using functions, classes, and modules to organize your code, ensuring each module has a single responsibility, and keeping your code DRY (Don't Repeat Yourself).

Can you explain why DRY is important?

Absolutely! The DRY principle helps reduce code duplication, making your codebase easier to maintain and less prone to errors. When you avoid repetition, you can make changes in one place rather than multiple locations.

What about naming conventions for modules?

Good question! It's important to use clear and descriptive names for your modules. Typically, module names should be lowercase, and if they consist of multiple words, they should be separated by underscores. This improves readability and helps others understand the purpose of the module.

How can I structure my project for better modularity?

You can structure your project by creating a directory for your main package, and then subdirectories for modules and submodules. Each module should contain related functions and classes, and you can use an __init__.py file to make it a package.