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Leveraging Inheritance and Composition in Python: Building Robust Object-Oriented Designs

Dive deep into two core OOP concepts, discovering their power and symbiotic relationship in Python programming

Max N
3 min readMar 30, 2024

Object-Oriented Programming (OOP) comprises several foundational concepts, including inheritance and composition. While often compared, these techniques serve different goals yet frequently complement each other in producing effective designs.

This article elucidates inheritance and composition in Python, highlighting their importance, strengths, weaknesses, and nuanced interactions.

What is Inheritance?

Inheritance defines a mechanism whereby a derived class (also termed subclass or child class) obtains attributes and methods from a base class (alternatively known as superclass or parent class). Such transfer facilitates code reusability, simplified maintenance, and logical structuring of related objects.

Nonetheless, excessive reliance on inheritance can engender brittle dependencies, diminished testability, and convoluted class hierarchies. Therefore, practitioners advocate exercising restraint and considering alternative approaches like composition.

What is Composition?

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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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