Object-Oriented Programming (OOP) is a way to design software by organizing code around objects that have both data (**attributes**) and actions (**methods**). Python uses OOP to help you model real-world entities and their behaviors.

OOP is built on three main ideas:

- **Encapsulation**: group data and methods inside a class, controlling access to details;
- **Inheritance**: build new classes from existing ones to reuse and extend behavior;
- **Polymorphism**: use a shared interface so different objects can be handled through the same code.

These principles make your Python code more organized, reusable, and easier to manage.

A comprehensive course designed to teach Python's object-oriented programming paradigm from the ground up. Learn how to design, implement, and utilize classes, objects, inheritance, polymorphism, and advanced OOP concepts to write robust and maintainable Python code.

Explore the foundational concepts of object-oriented programming and how they are implemented in Python.

Delve into encapsulation, private/protected members, and property decorators in Python.

Master the concepts of inheritance, method overriding, and polymorphism in Python.

Dive into abstract classes, multiple inheritance, and special methods in Python.

Learn how to structure larger projects and apply OOP best practices in Python.

What is Object-Oriented Programming?