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    Python Object Class

    In Python, objects and classes are the two basic concepts of object-oriented programming (OOP). They help organize code into reusable and modular components. Let’s break them down:

    1. What is a Class?

    A class is a blue print or template for creating objects. It specifies a set of attributes, or data and methods, or functions, which objects created from the class will have.

    Syntax for Defining a Class:

    class ClassName:
        # Class attribute (shared by all instances)
        class_attribute = "This is a class attribute"
    
        # Constructor method to initialize object attributes
        def __init__(self, instance_attribute):
            self.instance_attribute = instance_attribute
    
        # Instance method
        def display(self):
            return f"Instance attribute: {self.instance_attribute}"

    2. What is an Object?

    Objects are instances of classes; when you produce an object, you instantiate a class, which means such an object has its own copy of the attributes and methods defined with that class.

    Example of Creating an Object:

    # Define a class
    class Person:
        def __init__(self, name, age):
            self.name = name  # Instance attribute
            self.age = age    # Instance attribute
    
        def greet(self):
            return f"Hello, my name is {self.name} and I am {self.age} years old."
    
    # Create an object (instance of the class)
    person1 = Person("Alice", 30)
    
    # Access attributes and call methods
    print(person1.name)       # Output: Alice
    print(person1.greet())    # Output: Hello, my name is Alice and I am 30 years old.

    3. Key Components of Classes and Objects

    a) Attributes

    Attributes are the variables linked to a class or object.

    • Class Attributes: Those shared among all objects.
    • Instance Attributes: Each individual object.

    b. Methods

    Methods are functions declared in a class that can take actions based on class attributes.

    • Instance Methods: Can take actions with each object attribute.
    • Class Methods: Use @classmethod and depend on class attributes.
    • Static Methods: Use @staticmethod and are independent of any attribute.

    4. The __init__ Method

    The __init__ method is the constructor in Python. It is called automatically when an object is created. It is used to initialize the object’s attributes.

    class Car:
        def __init__(self, brand, model):
            self.brand = brand  # Instance attribute
            self.model = model  # Instance attribute
    
    car1 = Car("Toyota", "Corolla")
    print(car1.brand)  # Output: Toyota

    5. Encapsulation, Inheritance, and Polymorphism

    a) Encapsulation

    Encapsulation is the bundling of data and methods into a single unit (class). It restricts access to certain components to ensure data security.

    • Use _ for protected attributes.
    • Use __ for private attributes.
    class BankAccount:
        def __init__(self, balance):
            self.__balance = balance  # Private attribute
    
        def get_balance(self):
            return self.__balance
    
        def deposit(self, amount):
            self.__balance += amount

    b) Inheritance

    Inheritance allows a class (child class) to inherit attributes and methods from another class (parent class).

    class Animal:
        def speak(self):
            return "Animal sound"
    
    class Dog(Animal):
        def speak(self):
            return "Woof!"
    
    dog = Dog()
    print(dog.speak())  # Output: Woof!

    c) Polymorphism

    Polymorphism allows methods in a child class to have the same name as methods in the parent class but behave differently.

    class Shape:
        def area(self):
            pass
    
    class Circle(Shape):
        def __init__(self, radius):
            self.radius = radius
    
        def area(self):
            return 3.14 * self.radius ** 2

    6. Special Methods

    Special methods (also called dunder methods) make objects work seamlessly with built-in functions and operators in Python.

    Some Common Dunder Methods:

    • _str_: defines the string representation of the object.
    • _repr_: Defines the official representation of the object.
    • _add_, _sub_, etc.: For operator overloading.
    class Point:
        def __init__(self, x, y):
            self.x = x
            self.y = y
    
        def __add__(self, other):
            return Point(self.x + other.x, self.y + other.y)
    
    p1 = Point(1, 2)
    p2 = Point(3, 4)
    result = p1 + p2
    print(result.x, result.y)  # Output: 4, 6

    7. Example of a Complete Class and Object

    class Book:
        def __init__(self, title, author, pages):
            self.title = title
            self.author = author
            self.pages = pages
    
        def description(self):
            return f"{self.title} by {self.author}, {self.pages} pages long."
    
        def is_long(self):
            return self.pages > 300
    
    # Create an object
    book1 = Book("1984", "George Orwell", 328)
    
    # Access attributes and methods
    print(book1.description())  # Output: 1984 by George Orwell, 328 pages long.
    print(book1.is_long())      # Output: True

    8. Advantages of Classes and Objects

    1. Modularity: It organizes code into reusable components
    2. Data Encapsulation: Protecting Data and Restricting Its Access
    3. Inheritance: Reusing Code Across Classes
    4. Polymorphism: Designing Flexible and Scalable Systems.