Python Object Oriented Programming Master Class

Learn OOP in Python fast—Understand classes, objects, encapsulation, inheritance, and method overriding.

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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!

Who this course is for:

• Beginner Python developers who want to learn Object-Oriented Programming (OOP) the practical way
• Computer science students who need a fast, clear understanding of OOP concepts for assignments or exams
• Self-taught coders looking to transition from procedural to object-oriented thinking
• Developers preparing for coding interviews where OOP knowledge is frequently tested
• Anyone looking to level up their Python skills with real-world examples of classes, inheritance, and encapsulation
• Teachers or instructors who want a quick reference or teaching aid for OOP in Python
• Professionals switching to Python from other languages and seeking a concise refresher on Python OOP syntax and principles