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Understanding the Power of Abstraction and Polymorphism in Python

Simplifying Complex Concepts for Effective Programming

Max N
2 min readApr 2, 2024
Photo by Jr Korpa on Unsplash

In the world of Python programming, two fundamental concepts stand out for their ability to enhance code flexibility and readability: abstraction and polymorphism. While they may sound complex, they are indispensable tools for any programmer looking to write efficient and maintainable code.

In this article, we’ll dive into the concepts of abstraction and polymorphism in Python, providing clear explanations and practical code examples to demystify their usage.

Unraveling Abstraction and Polymorphism

Abstraction involves hiding complex implementation details while providing a simplified interface for interacting with objects. Polymorphism, on the other hand, allows objects of different types to be treated as objects of a common superclass. Together, these concepts enable programmers to write code that is more flexible, reusable, and easier to understand.

Exploring Abstraction with Abstract Base Classes (ABCs)

Let’s begin by exploring how abstraction is implemented in Python using Abstract Base Classes (ABCs).

from abc import ABC…

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Max N
Max N

Written by Max N

A writer that writes about JavaScript and Python to beginners. If you find my articles helpful, feel free to follow.

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