Python OOPs Coding Practice Problems

Last Updated : 30 Apr, 2025

Object-Oriented Programming (OOP) is a fundamental concept in Python that helps structure code for better readability and reusability. This collection of Python OOPs coding practice problems covers everything from defining classes and objects to solving advanced challenges like implementing design patterns and creating custom data structures. Perfect for beginners and seasoned programmers looking to deepen their understanding of OOP in Python!

Object-Oriented Programming (OOP) Overview

Design a Class – A class is a blueprint for creating objects, defining attributes (variables) and methods (functions) to encapsulate behavior.
Constructor – The __init__ method initializes an object's attributes when an instance of a class is created.
Encapsulation – Restricts direct access to object data by using private (__var) and protected (_var) attributes, ensuring controlled modification.
Abstraction – Hides implementation details and exposes only the necessary functionalities using abstract classes (ABC) and methods (@abstractmethod).
Static Method – A method defined with @staticmethod that doesn’t depend on instance attributes and can be called using the class name.
Inheritance – Allows one class (child) to inherit attributes and methods from another class (parent), promoting code reuse.
Multiple Inheritance – A child class inherits from multiple parent classes, allowing access to combined attributes and methods.
Method Overriding – Redefining a method in a child class that exists in the parent class, enabling customized behavior.
Operator Overloading – Customizes the behavior of operators (e.g., +, -, *) by defining special methods (__add__, __sub__).