Saturday, 22 April 2023

Object Oriented Programming in Python

 Object-oriented programming (OOP) is a programming paradigm that is based on the concept of "objects," which can contain data and code to manipulate that data. Python is an object-oriented programming language that supports OOP concepts such as inheritance, encapsulation, and polymorphism. Here are some key concepts and syntax used in Python for OOP:

Class: A class is a blueprint or template for creating objects. It defines a set of attributes and methods that the objects of that class will have.


class ClassName:

    # class attributes

    attribute1 = value1

    attribute2 = value2

    # class methods

    def method1(self):

        # method code

    def method2(self):

        # method code

Object: An object is an instance of a class. It has its own set of attributes and methods that were defined in the class.
# create an object of class ClassName
object_name = ClassName()

Method: A method is a function that is defined inside a class and can be called on an object of that class.
# call method1 on object_name

Attribute: An attribute is a variable that is defined inside a class and can be accessed by objects of that class.
# access attribute1 of object_name

Inheritance: Inheritance is a mechanism in which a new class is created from an existing class. The new class, called the subclass or derived class, inherits the attributes and methods of the existing class, called the superclass or base class.
# create a subclass of superclass
class SubclassName(SuperclassName):
    # subclass attributes
    attribute3 = value3

    # subclass methods
    def method3(self):
        # method code

Polymorphism: Polymorphism is the ability of objects of different classes to be used interchangeably. It allows the same method to be called on different objects, and the behavior of the method will depend on the object it is called on.
# create two objects of different classes
object1 = ClassName1()
object2 = ClassName2()

# call the same method on both objects

These are some of the key concepts and syntax used in Python for OOP. By using OOP concepts, you can write modular and reusable code that is easier to maintain and understand.


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