Polymorphism and Composition in Python OOP

In this episode as an extension of the previous episode on Object-Oriented Programming in Python, I took a deep dive into two powerful pillars of Object-Oriented Programming (OOP): Polymorphism and Composition Kick-started by breaking down the logic and rationale behind each concept when to use them, why they matter, and the little tricks to quickly decide which approach best fits real-world problems. Using smart, practical coding examples, we explored: Polymorphism → how different classes can share the same method names but behave differently, and why this flexibility makes our code clean, scalable, and elegant. Composition → how to build systems by combining objects, and why it’s often a better fit than inheritance when modeling relationships like “has-a” instead of “is-a.” Then, built a program to put the concepts to work in a fully practical project: a Library Management System, which was designed it step by step, showcasing: A Book class with attributes (title, author) and methods to check out, return, and track availability. A Library class with a private collection of books, and methods to add books, check out by title, return by title, and list all available books. How composition powers the connection between Library and Book, letting us manage books dynamically without overcomplicating the design. This wasn’t just theory, it was real programming in action. By the end, we had a working program where books could be borrowed, returned, and tracked, all while understanding the mechanics of polymorphism and composition in depth. If you’ve ever struggled to grasp these concepts beyond textbook definitions, this session will change how you think about OOP. It’s practical, beginner-friendly yet deep enough to help you grow into mastery. If you watch till the end and found value in it, don’t forget to like, comment, share and subscribe for more hands-on practical projects of this kind.