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Python Object Oriented Programming Master Class

4.70
1,830 students
3h 2m
Updated Apr 2026

What you'll learn

Understand the core concepts of Object-Oriented Programming (OOP) in Python
Create and use classes and objects effectively
Define and manage instance attributes and methods
Use the __init__() constructor to initialize objects
Differentiate between class attributes and instance attributes
Use the self keyword to reference object-specific data
Apply encapsulation to protect internal class data
Work with public, protected, and private attributes
Implement getter and setter methods manually and using property decorators
Build inheritance hierarchies and reuse parent class functionality
Override methods in child classes to customize behavior
Use the super() function to access and extend parent methods
Understand and apply polymorphism using method overriding
Write cleaner, reusable, and modular Python code using OOP best practices
Develop a solid foundation for more advanced Python programming and frameworks

Course Description

Unlock the power of Object-Oriented Programming (OOP) in Python with this fast-paced, beginner-friendly course designed to take you from procedural thinking to clean, modular, and reusable code in just two hours.

Whether you're a new Python learner or someone looking to solidify your understanding of OOP, this course offers clear explanations, real-world analogies, and hands-on coding examples to help you understand and apply key OOP principles: classes, objects, attributes, methods, encapsulation, inheritance, and polymorphism.

You’ll start by learning why OOP matters, and how it compares to procedural programming. Then we’ll break down the core building blocks — creating classes, defining instance and class attributes, using constructors like __init__(), and writing instance methods. From there, you’ll explore access control (public, protected, private attributes), use getter and setter methods, and apply property decorators to manage data access elegantly.

In the second half of the course, you'll dive into inheritance, method overriding, and the power of polymorphism. With the help of the super() function, you’ll see how child classes can extend and enhance the behavior of parent classes.

By the end of the course, you’ll be able to write professional, object-oriented Python code — whether you're building a personal project, contributing to a team codebase, or preparing for interviews.

No prior OOP experience is required. Just bring your Python basics, and let’s level up your coding skills — fast!

Requirements

  • Basic knowledge of Python (variables, functions, loops, and conditionals)
  • A computer with Python installed (any version 3.x is fine)
  • A code editor or IDE like VS Code, PyCharm, or even an online Python interpreter
  • No prior experience with Object-Oriented Programming required
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Course Details

  • Level Intermediate
  • Lectures 26
  • Duration 3h 2m