Free online courseObject-Oriented Programming OOP in Python: Classes, Inheritance and Polymorphism

Course Description

Learn how to design clean, reusable Python programs with Object-Oriented Programming. This free course guides you from core OOP concepts to practical patterns you can apply in real projects, helping you move beyond scripts into well-structured software.

You will build confidence working with classes and objects, creating your first class, using class-level attributes, and understanding how Python stores attributes with __dict__. Along the way, you will improve readability and debugging by implementing __str__ and __repr__, and you will practice using class methods and collaborating objects within methods.

The course also explains key principles such as data encapsulation, including how to use getters and setters responsibly and follow common naming conventions. You will explore polymorphism and a range of magic methods, learn when and how to use NotImplemented, and reinforce your skills through hands-on tasks and challenges.

As you progress, you will model larger systems with multiple interacting classes, apply enumeration classes, and work through demos that include CSV-based examples. You will then dive into inheritance in depth, including subclasses, method resolution order, multilevel inheritance, and multiple inheritance, with clear examples that highlight best practices and common pitfalls.

Finally, you will compare composition and inheritance to choose the right approach for your designs, and you will learn the purpose and use of abstract classes. If you want a practical, beginner-friendly path to writing maintainable Python code with OOP, this course provides a focused and applied learning experience.