Python (Part 13)-Modules

Introduction

Python, a versatile and powerful programming language, owes much of its success to its modular and extensible nature. In Python, code organization is achieved through the use of modules . Modules is fundamental concepts that contribute to the elegance and maintainability of Python code. These concepts facilitate better code management, reusability, and collaboration among developers. In this blog post, we will delve into the world of modules , exploring their significance, understanding their roles, and benefits, and how they enhance code organization and reuse.

Sections

What is mean by modules Create modules Creating Python modules in Google Colab Importing module objects to the current namespace Importing all objects from a module Custom import name Module initialization Extending module load path Exploring built-in modules Conclusion

Section 1- What is mean by Modules

In programming, a module is a piece of software that has a specific functionality. For example, when building a ping pong game, one module would be responsible for the game logic, and another module would be responsible for drawing the game on the screen. Each module is a different file, which can be edited separately.

At its core, a module in Python is a file containing Python definitions and statements. These files end with the .py extension and can define functions, classes, and variables. By encapsulating code within modules, developers can create a modular and organized codebase. Modules help in organizing code, promoting code reusability, and avoiding naming conflicts.

Consider a module to be the same as a code library. A file containing a set of functions you want to include in your application [2].

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