Advanced Python – Object Oriented Concepts and Practice with real examples

Object-oriented programming (OOP) in Python is a programming paradigm that revolves around the concept of objects. As a part of the course syllabus include core concepts and practices ralated to
 

Classes and Objects: Defining and using classes to create objects with properties and behaviors.

Inheritance: Creating new classes based on existing ones to inherit and extend their attributes and methods.

Encapsulation:Enclosing data and methods within a class to hide implementation details and provide abstraction.

Polymorphism: The ability for objects of different classes to respond to the same method in different ways.

 
Method Overriding: Modifying or replacing inherited methods in a subclass to provide specialized behavior.
 
Method Overloading: Defining multiple methods with the same name but different parameter lists within a class.
 
Instance Variables: Variables specific to each instance of a class, holding unique data for each object.
 
Class Variables: Variables shared by all instances of a class, holding data common to all objects.
 
Abstraction: Simplifying complex systems by focusing on essential features and hiding unnecessary details.
 
Modularity: Breaking down a program into smaller, self-contained modules (classes) for better organization and maintenance.
 
Composition: Building complex objects by combining simpler objects as their components.
 
Association: Establishing relationships between objects to represent real-world associations or dependencies.
 
Dependency Injection: Providing dependencies to an object from external sources, enabling loose coupling and flexibility.
 
Static and Class Methods: Defining methods that can be accessed without creating an instance or by the class itself.
 
Multiple Inheritance: Inheriting from multiple parent classes to combine their attributes and behaviors.
 
Abstract Base Classes (ABCs): Defining abstract classes that cannot be instantiated but serve as templates for subclasses.