Object-Oriented Programming (OOP) in Python

In this tutorial series on OOP in Python, we will explore how Python supports object-oriented programming and how you can use it to write modular, reusable, and scalable code.

What We Will Cover:

1. Introduction to OOP in Python – Understanding classes, objects, and the need for OOP.
2. Encapsulation – Hiding implementation details and controlling access to data.
3. Inheritance – Creating new classes from existing ones to promote code reuse.
4. Polymorphism – Implementing methods in multiple ways for flexibility.
5. Magic Methods & Dunder Methods – Special methods like __init__, __str__, and __len__.
6. Class and Static Methods – Differences between instance, class, and static methods.
7. Abstract Classes and Interfaces – Enforcing structure in OOP design.
8. Real-world OOP Examples – Practical implementations of OOP in Python projects.