Object-Oriented Programming with Python

This repository provides examples and explanations of core Object-Oriented Programming (OOP) concepts in Python. It includes practical code snippets to demonstrate key principles of OOP, such as inheritance, polymorphism, encapsulation, as well as Python-specific features like generators and iterators.

Contents

• Inheritance: Demonstrates how a class can inherit methods and properties from another class.
• Polymorphism: Shows how objects of different classes can be treated as objects of a common superclass, enabling method overriding and dynamic method calls.
• Encapsulation: Explains the concept of bundling data and methods that operate on that data within a single unit or class, and controlling access to the class variables.
• Generators: Examples showcasing Python's generator functions and the yield keyword to create iterators for efficient data processing.
• Iterators: Provides examples of creating and using custom iterator classes in Python.

Features

• Code examples for each OOP principle.
• Clear comments and explanations for better understanding.
• Pythonic approaches for each concept.
• Helps in mastering Python's OOP capabilities for cleaner and more maintainable code.

Getting Started

Prerequisites

• Python 3.x installed on your system.