Composition vs Inheritance in Python: Designing Classes That Scale

Published: 15 August 2026
on channel: Data Science for Everyone
142
1

A single class in isolation is easy — real applications need multiple classes that collaborate. This lesson covers the two fundamental relationships between classes and the framework for choosing between them.

You'll build a manager class that contains other objects (composition, the "has-a" relationship), and a specialized subclass that extends a base class (inheritance, the "is-a" relationship). We cover encapsulation, how super().__init__() calls a parent's constructor, and a decision table that reliably tells you which pattern fits. The lesson lands on the single most important OOP design principle — the Golden Rule: prefer composition over inheritance — and explains why it leads to more maintainable, testable code.

📄 Full written lesson, code examples & exercises → https://markumreed.github.io/ism3232/...


On this page of the site you can watch the video online Composition vs Inheritance in Python: Designing Classes That Scale with a duration of hours minute second in good quality, which was uploaded by the user Data Science for Everyone 15 August 2026, share the link with friends and acquaintances, this video has already been watched 142 times on youtube and it was liked by 1 viewers. Enjoy your viewing!