This repository is dedicated to mastering Object-Oriented Programming (OOP) concepts in Python, specifically structured to help with viva and interview preparation.

1. 🧠 OOP

   • Introduction to Object-Oriented Programming in Python

2. 🏛️ Pillars of OOP

   • Encapsulation
   • Abstraction
   • Inheritance
   • Polymorphism

3. 🔐 Encapsulation

   • Wrapping data and code together as a single unit
   • Access modifiers: public, protected, private
   • https://github.com/samade747/OOP-PRO/tree/main/OfficalRepo/Encapsulation

4. 🎭 Abstraction

   • Hiding internal implementation and showing only necessary details
   • https://github.com/samade747/OOP-PRO/tree/main/OfficalRepo/Abstraction

5. 👪 Inheritance

   • Acquiring properties and behaviors from a parent class

   • https://github.com/samade747/OOP-PRO/blob/main/OfficalRepo/Inheritance/README.md

6. 🔁 Polymorphism

   • Multiple forms: method overloading and method overriding
   • https://github.com/samade747/OOP-PRO/tree/main/OfficalRepo/Polymorphism

7. ⚔️ OOP vs Procedural Programming

   • Key differences and use cases

8. 🧱 Basics of Classes and Objects

   • 👤 Classes: Blueprints for creating objects
   • 🧩 Objects: Instances of classes

9. 🛠️ Attributes and Methods

   • Instance variables
   • Class variables
   • Instance methods

10. 🏗️ Constructors

    • __init__ method to initialize objects

11. 🧨 Destructors

    • __del__ method to clean up when an object is deleted

12. 🆚 Class Attributes vs Instance Attributes

    • Shared vs unique data among instances

13. 🏷️ @classmethod

    • Methods that take the class as the first argument

14. 🧷 @staticmethod

    • Methods that don’t take instance or class as a parameter

15. 👤 @instancemethod

    • Regular methods that operate on instance data

This repository is helpful for:

• Viva preparation
• Technical interview revision
• Deep understanding of Python OOP concepts

This project is open-source and available under the MIT License.