OOPS in Python (Object Oriented Programming) | Classes & Objects [Part 55] Python Tutorial in Hindi

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Python tutorial for Beginners in Hindi

In this video you will learn about Object Oriented Programming in Python.

Object-oriented programming (OOP) in Python is a paradigm that allows developers to structure their code around objects, making it easier to manage and manipulate data. At its core, OOP revolves around the concept of classes and objects. A class serves as a blueprint for creating objects, defining their properties (attributes) and behaviors (methods). In Python, classes are created using the class keyword, and objects are instances of these classes.

Encapsulation is a key principle of OOP, promoting the bundling of data and methods that operate on that data within a single unit, i.e., the class. This helps in hiding the internal implementation details of an object and allows for better control over access to its attributes and methods. In Python, encapsulation is achieved through the use of access modifiers like public, private, and protected.

Inheritance enables the creation of new classes (derived classes) that inherit properties and behaviors from existing classes (base classes). This promotes code reuse and allows for the creation of hierarchical relationships between classes. Python supports single and multiple inheritance, where a derived class can inherit from one or more base classes.

Polymorphism allows objects of different classes to be treated as objects of a common superclass, providing a way to perform a single action in different ways. This is achieved through method overriding and method overloading, where subclasses can redefine methods of the superclass or provide different implementations based on the context.

Overall, object-oriented programming in Python offers a powerful and flexible approach to software development, enabling developers to write modular, maintainable, and scalable code.

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

Why to Learn Python?
Python is consistently rated as one of the world's most popular programming languages. Python is fairly easy to learn, so if you are starting to learn any programming language then Python could be your great choice. Today various Schools, Colleges and Universities are teaching Python as their primary programming language. There are many other good reasons which makes Python as the top choice of any programmer:

1. Python is Open Source which means its available free of cost.
2. Python is simple and so easy to learn
3. Python is versatile and can be used to create many different things.
4. Python has powerful development libraries include AI, ML etc.
5. Python is much in demand and ensures high salary

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[error_]

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[BestKhoj]

Lesson 1: Introduction to Object-Oriented Programming
00:00-05:00: What is OOP?
05:00-10:00: Real-world analogies
10:00-15:00: Key concepts: objects, classes, attributes, and methods

Lesson 2: Creating Classes and Objects
15:00-20:00: Defining a class
20:00-25:00: Creating objects
25:00-30:00: The __init__ method
30:00-35:00: Accessing attributes and methods

Lesson 3: Methods and Functions
35:00-40:00: Defining methods
40:00-45:00: The self parameter
45:00-50:00: Calling methods
50:00-55:00: Difference between methods and functions

Lesson 4: Inheritance
55:00-60:00: Understanding inheritance
60:00-65:00: Parent and child classes
65:00-70:00: Overriding methods
70:00-75:00: Real-world examples

Lesson 5: Magic Methods
75:00-80:00: Introduction to magic methods
80:00-85:00: The __init__ method in detail
85:00-90:00: Other common magic methods
90:00-95:00: Customizing object behavior

Lesson 6: Attributes and Properties
95:00-100:00: Creating and accessing attributes
100:00-105:00: Difference between attributes and properties
105:00-110:00: Using @property decorator

Lesson 7: Encapsulation
110:00-115:00: Protecting data within objects
115:00-120:00: Public, private, and protected attributes
120:00-125:00: Getters and setters

Lesson 8: Polymorphism
125:00-130:00: Understanding polymorphism
130:00-135:00: Method overriding
135:00-140:00: Duck typing

Lesson 9: Advanced OOP Topics
140:00-145:00: Abstract classes and interfaces
145:00-150:00: Multiple inheritance
150:00-155:00: Operator overloading
DECLATION :
I AM NOT SURE IF THIS IS THE CORRECT VIDEO TIME LINE.

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