Modularization in Python refers to the technique of splitting a large programming task into smaller, separate, and manageable subtasks. It is a way of organizing code into reusable units called modules, which can be imported and used in other programs. Modularization is effective in breaking down large scripts into smaller, manageable files.
There are different ways to modularize code in Python, including modularization with functions and modularization with packages. A module is a file that contains Python statements and definitions, and it can be called by other modules. Modularization with functions involves creating modules that contain functions that can be executed when called. On the other hand, modularization with packages involves creating modules that are organized into a package hierarchy, which can be imported and used in other programs.
Modularization is useful in making code more readable, reliable, and maintainable, especially for larger applications. It enables reusability and minimizes duplication, and it allows developers to organize their code into reusable units. By using modularization, developers can avoid script hell, where code becomes disorganized and difficult to manage.
In summary, modularization in Python is the technique of breaking down a large programming task into smaller, manageable subtasks called modules. It is useful in making code more organized, readable, and maintainable, and it enables reusability and minimizes duplication. There are different ways to modularize code in Python, including modularization with functions and modularization with packages.
