What is Object-Oriented Programming (OOP)?

Object-Oriented Programming (OOP) is a programming paradigm that structures code using objects and classes. Objects represent real-world entities, and classes define the blueprint for creating these objects.

Why Use OOP in Python?

OOP makes code more modular, reusable, and scalable. It helps in organizing complex programs by grouping data (attributes) and behavior (methods) together.

Python Object Oriented Programming Concepts

  1. Introduction to Object-Oriented Programming (OOP) in Python
  2. Classes and Objects
  3. Attributes and Methods in a Class
  4. The self Keyword
  5. Constructors (__init__ method)
  6. Instance Variables vs Class Variables
  7. Inheritance
  8. Method Overriding
  9. Multiple Inheritance
  10. Encapsulation
  11. Access Modifiers (Public, Protected, Private)
  12. Property Decorators (@property, @setter)
  13. Polymorphism
  14. Abstract Classes and Interfaces (ABC module)
  15. Magic Methods (__str__, __repr__, __eq__, etc.)
  16. Operator Overloading
  17. Class Methods (@classmethod)
  18. Static Methods (@staticmethod)
  19. Class Methods vs Static Methods
  20. Metaclasses
  21. Object Serialization (pickle module)
  22. OOP Design Patterns (Singleton, Factory, etc.)
  23. Mixins
  24. Inheritance and Composition
  25. Duck Typing
  26. SOLID Principles in Python OOP