
Learn how Python applies object oriented programming by using objects to group data and methods, via a product example that shows classes, properties, and operations like discounting and selling.
Create objects in Python by defining a class as a blueprint, using product as an example, and distinguish class attributes from instance attributes while handling object creation and attribute access.
Define instance attributes with a constructor to assign per-object properties like name and price in a Python class, ensuring each instance initializes its own values.
Explore how methods inside a class operate on object data using self, implement a discount method, and call it on objects to update prices.
Explore functional versus object oriented programming by building a product data app, showing input and display with a functional function and a class with constructor, getters, and put data methods.
Explore how inheritance in Python lets a subclass inherit attributes and methods from a base class, illustrated with product and digital product examples.
Learn how multiple inheritance lets a class inherit from several classes, giving a C object access to methods from A and B as well as its own method C.
Explore multi-level inheritance in Python by chaining classes, where C inherits from B and B from A, showing access to A, B, and C methods and contrasting with multiple inheritance.
Explore polymorphism in Python by understanding forms, including operator polymorphism for numbers and strings, and function polymorphism that adapts with strings or lists, with a nod to object oriented programming.
Explore how method overriding achieves polymorphism in Python's object oriented paradigm by overriding a superclass method in a fruit subclass, illustrating when inherited methods are replaced by subclass definitions.
Explore instance methods that operate on an object's instance variables, using self and constructors, implement a hello method to print a name, and compute the length of the name.
Learn how class methods access class variables using the cls parameter and the @classmethod decorator, and why they are invoked on the class rather than an instance.
Explore static methods in Python: they belong to the class, not to instances, require no self, and are called on the class for tasks like adding numbers or circle calculations.
Discover nested classes in Python, where an inner class accesses the outer class and its attributes. See a car example with a steering inner class and static methods.
Learn to design a zoo using nested classes, with a zoo class managing an empty animals list and an inner animal class, supporting add and display operations.
Explore constructor inheritance by showing how a child class inherits the parent’s init method to access and display the balance.
Learn how to override a superclass constructor in a child class, manage balances, and use super to access the parent's balance for a combined total.
Use the super function to access the parent class's attributes in the child, enabling constructor inheritance and combining child balance with parent balance.
Define a vehicle class, create objects with a constructor for name and color, implement an instance method to display attributes, and explore inheritance with a car subclass.
Explore method overriding and constructor overrides in Python OOP with a vehicle and car example, using super, and add class attributes, class methods, and static methods.
Build a student management system in Python using OOP with a student and a school class. Add, display, edit, and delete students stored in a list via user input.
Create a menu-driven Python program to add and display students in a school using a while loop and string choices, with in-memory data (not stored in a file).
Learn to edit a student's data by locating the student via roll number, inputting a new name and age, and updating the records with an edit_student method.
Implement delete functionality in a Python object-oriented programming student management system by adding a delete_student method that removes a student by roll number from the list.
Python OOP Course: Classes, Inheritance, Polymorphism
Object-Oriented Programming (OOP) is one of the most important concepts in Python programming. Understanding OOP will help you write cleaner, more structured, and reusable code.
This course is designed for students who want to learn Python Object-Oriented Programming quickly and efficiently without spending hours going through unnecessary theory.
In this course, you will learn the core principles of OOP in Python, including classes, objects, inheritance, polymorphism, methods, and constructors. Each concept is explained with clear examples so you can easily understand how OOP works in real Python programs.
By the end of this course, you will also build a complete Student Management System using OOP, which will help you see how all the concepts work together in a real application.
This course is perfect for developers and students who already know Python basics and want to quickly master object-oriented programming.
What You Will Learn
• Understand the fundamentals of Object-Oriented Programming in Python
• Create and use classes and objects in Python programs
• Work with instance attributes and different types of methods
• Implement inheritance including multiple and multilevel inheritance
• Understand polymorphism and method overriding
• Use constructors and the super() function effectively
• Build a real-world project using Object-Oriented Programming
Why Learn Object-Oriented Programming?
Object-Oriented Programming is widely used in:
• large software systems
• web development frameworks
• scalable applications
• real-world software design
Learning OOP will allow you to write modular, reusable, and maintainable code.
Requirements
Before taking this course, you should:
• Understand basic Python programming
• Be familiar with variables, functions, and control structures
No prior knowledge of Object-Oriented Programming is required.
Who This Course Is For
• Python developers who want to quickly learn Object-Oriented Programming
• Students preparing for Python interviews
• Programmers who want to understand classes, inheritance and polymorphism
• Anyone who wants to write better structured Python programs
If you want to master Object-Oriented Programming in Python quickly and practically, this course will guide you step by step through the essential concepts and real-world examples.