In this lecture, we begin Object-Oriented Programming (OOP) in Python by understanding classes, objects, attributes, methods, constructors, and dunder (magic) methods. These concepts form the foundation of writing modular, reusable, and maintainable Python programs.
Object-Oriented Programming (OOP)
📌 Topics Covered
🔹 Classes & Objects
What is Object-Oriented Programming?
Classes and Objects
Creating Classes
Creating Objects
__init__() Constructor
self Keyword
🔹 Properties (Attributes)
Instance Attributes
Class Attributes
Accessing and Modifying Attributes
Class Variables vs Instance Variables
🔹 Methods
Instance Methods
Calling Methods
Passing Objects as Arguments
🔹 Dunder (Magic) Methods
Introduction to Dunder Methods
__str__() and __repr__()
__eq__()
Arithmetic Dunder Methods
Container Dunder Methods
Callable Objects
Object Lifecycle Methods
🎯 Why this topic is important?
Object-Oriented Programming is one of the most important programming paradigms used in software development, data science, machine learning, and coding interviews. Understanding classes, objects, attributes, methods, and dunder methods is essential for writing clean and reusable Python code.
🎯 Important for:
Python Programming
GATE DA Preparation
Coding Interviews
Software Development
Data Science & Machine Learning
📌 Covers classes, objects, constructors, self, properties (attributes), methods, class variables, instance variables, and dunder (magic) methods with examples.
Learn the fundamentals of Object-Oriented Programming in Python and build a strong foundation for advanced OOP concepts! 🚀
#Python #PythonProgramming #OOP #Classes #Objects #DunderMethods #MagicMethods #LearnPython #CodingInterview #GATEDA #GateXAIML
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