Object Oriented Programming in Python 3
Learn Object-Oriented Programming (OOP) with practical examples, code exercises, and real-world projects. Master OOP concepts through hands-on learning!
Course Content
Object Oriented Programming in Python 3 is an all-levels Udemy course taught by James Clare. It runs 7h 13m, is taught in English, and includes a certificate of completion. Learners rate it 4.8 out of 5 from 78 reviews, with 1,846 students enrolled. It is a paid course, last updated September 2025.
Object-Oriented Programming (OOP) in Python 3: Master the Fundamentals
This comprehensive course is designed to equip you with the practical skills to confidently master Object-Oriented Programming (OOP) in Python 3. You'll be actively coding from the very first lesson, engaging in problem-solving, planning, and coding throughout.
We believe in a hands-on approach to learning. This course presents OOP concepts in a clear, accessible way, consistently linking them to real-world use cases. Each section includes coding exercises, quizzes, and "stop-and-code" sessions that progressively increase in difficulty, building upon previously learned skills.
Course Curriculum:
- Environment Setup: Get started with Visual Studio Code and set up your development environment for Python.
- OOP Basics & Terminology: Understand the core principles of object-oriented programming, including key terms and concepts.
- Creating Classes and Instances: Learn how to define classes and create instances of those classes. Explore constructors (
__init__methods) for initializing objects. - Instance Attributes & Methods: Work with instance attributes and define instance methods to manipulate object data.
- Class Attributes & Methods: Understand and utilize class attributes and class methods.
- Static Methods: Learn about static methods and their use cases.
- Properties (Getters, Setters, Deleters): Control access to object attributes using properties.
- Magic Methods (Dunder Methods): Explore magic methods (also known as dunder methods) to customize object behavior.
- Inheritance & Composition: Master inheritance and composition for creating reusable and maintainable code.
- SOLID Design Principles: Apply SOLID design principles to build robust and scalable object-oriented systems.
- Data Classes: Utilize data classes for concise data representation.
- Abstract Base Classes: Understand and implement abstract base classes.
- Miscellaneous Features: Explore advanced features like enums, slots, descriptors, and multiple inheritance.
Coding Projects:
Reinforce your OOP skills with two practical projects:
- Multiplayer Quiz: Develop a multiplayer quiz application using classes to represent questions and players. Implement game logic with a dedicated control class. This project emphasizes professional coding standards with type hints and documentation strings.
- Automatic Weather Notifier: Create a program that fetches weather data from an API using scheduling and then sends weather alerts and information via email. This project also adheres to professional coding standards with type hints and documentation strings.
Coding Challenges:
Throughout the course, you'll encounter coding challenges designed to test your understanding of all aspects of object-oriented programming.
Prerequisites:
A basic understanding of Python is recommended. Familiarity with strings, integers/floats, booleans, lists, tuples, sets, dictionaries, loops, functions, and error handling is beneficial. If you're new to Python, check out my beginner course on Udemy!
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