This repository is dedicated to mastering Object-Oriented Programming (OOP) concepts in Python, specifically structured to help with viva and interview preparation.
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π§ OOP
- Introduction to Object-Oriented Programming in Python
 
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ποΈ Pillars of OOP
- Encapsulation
 - Abstraction
 - Inheritance
 - Polymorphism
 
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π 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
 
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π Abstraction
- Hiding internal implementation and showing only necessary details
 - https://github.com/samade747/OOP-PRO/tree/main/OfficalRepo/Abstraction
 
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πͺ Inheritance
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Acquiring properties and behaviors from a parent class
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https://github.com/samade747/OOP-PRO/blob/main/OfficalRepo/Inheritance/README.md
 
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π Polymorphism
- Multiple forms: method overloading and method overriding
 - https://github.com/samade747/OOP-PRO/tree/main/OfficalRepo/Polymorphism
 
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βοΈ OOP vs Procedural Programming
- Key differences and use cases
 
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π§± Basics of Classes and Objects
- π€ Classes: Blueprints for creating objects
 - π§© Objects: Instances of classes
 
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π οΈ Attributes and Methods
- Instance variables
 - Class variables
 - Instance methods
 
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ποΈ Constructors
__init__method to initialize objects
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𧨠Destructors
__del__method to clean up when an object is deleted
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π Class Attributes vs Instance Attributes
- Shared vs unique data among instances
 
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π·οΈ @classmethod
- Methods that take the class as the first argument
 
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π§· @staticmethod
- Methods that donβt take instance or class as a parameter
 
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π€ @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.