Python Object Oriented Programming (With Examples)

Python Object-Oriented Programming (OOP) Concepts

• Classes and Objects:
  • Class: A blueprint for creating objects.
  • Object: An entity with specific attributes (data) and behaviors (methods).
  • Instances: Objects created from a class; attributes are accessed using dot notation.
• Inheritance:
  • Allows a new class (derived/child) to use the properties and methods of an existing class (base/parent) without modifying the original.
  • Promotes code reusability.
• Encapsulation:
  • Bundles data (attributes) and methods within a single class.
  • Achieves data hiding by restricting direct access to internal components.
  • Private Attributes: Denoted by a single (_) or double (__) underscore prefix.
  • Setters: Used to safely modify private attributes from outside the class.
• Polymorphism:
  • Allows the same entity (method, operator, or object) to perform different operations depending on the context.
  • Commonly used when subclasses override methods defined in a superclass to provide specific implementations.
• Key Benefits of OOP:
  • Improved code readability and efficiency.
  • High reusability through class sharing.
  • Enhanced security via data abstraction.
  • Simplified maintenance through modular design.