In the ever-evolving world of software development, maintaining code can be a daunting task, especially for complex projects. As applications grow in size and complexity, it becomes increasingly challenging to keep track of every detail, understand how different components interact, and make changes without introducing bugs or unintended consequences.
This is where the concept of abstraction comes into play, serving as a powerful tool for enhancing code maintainability in Python.
Abstraction is the process of hiding implementation details and exposing only the essential features or behaviors of a system. By breaking down complex systems into smaller, more manageable pieces and providing a clear separation of concerns, abstraction allows developers to work with higher-level concepts, making code more readable, modular, and easier to maintain.
One of the fundamental principles of abstraction in Python is the use of functions and modules. Functions encapsulate specific tasks or operations, allowing developers to reuse code across multiple parts of an application. Modules, on the other hand, provide a way to organize related…
