Python Object Oriented Programming Master Class
Master Python OOP! Learn classes, objects, inheritance & more. Build robust code quickly. Perfect for beginners & those upgrading skills.
Course Content
Python Object Oriented Programming Master Class is an intermediate-level Udemy course taught by Neamatullah Ekhteyari. It runs 3h 2m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 7 reviews, with 1,007 students enrolled. It is a paid course, first published June 2025.
Master Object-Oriented Programming (OOP) in Python in just two hours! This beginner-friendly course transforms you from procedural programmer to a creator of clean, modular, and reusable code.
Whether you're new to Python or want to strengthen your OOP skills, this course provides clear explanations, relatable real-world analogies, and hands-on coding examples. You'll grasp the core OOP principles:
- Classes & Objects: Learn to define blueprints and create instances.
- Attributes: Understand how to store data within objects.
- Methods: Write functions that operate on objects.
- Encapsulation: Control access to data for robust code.
- Inheritance: Create new classes based on existing ones.
- Polymorphism: Write code that can work with objects of different classes.
We begin by exploring why OOP is essential and how it differs from procedural programming. Then, we'll build a solid foundation by:
- Creating Classes: Learn the syntax for defining classes in Python.
- Instance & Class Attributes: Understand the difference and use cases.
- Constructors (
__init__): Master initializing objects correctly. - Instance Methods: Write methods that operate on specific object instances.
Next, you'll delve into advanced techniques:
- Access Control: Explore
public,protected, andprivateattributes. - Getter & Setter Methods: Control data access and modification.
- Property Decorators: Implement elegant data management.
In the second half, unlock the power of:
- Inheritance: Extend and reuse code efficiently.
- Method Overriding: Customize inherited behavior.
- Polymorphism: Write flexible and adaptable code using
super().
By the end of this course, you'll be equipped to write professional Python code for personal projects, team collaboration, and technical interviews. No prior OOP experience is needed – just basic Python knowledge! Level up your coding skills fast and embrace the power of Python OOP today.
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