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Classes and objects are the cornerstones of Object-oriented programming (OOP) in python. Classes act as blueprints for objects, and objects are instances of classes. By understanding these concepts, developers can create code that is flexible, reusable, and easy to maintain. kind
A class is a user-defined type that encapsulates data and methods.
Classes contain data members (properties) and methods (operations).
Objects are instances of classes.
Access the properties and methods of an object through the period operator (.).
Example:
class Person: def __init__(self, name, age): self.name = name self.age = age
This code creates a class namedPersonwhich has a constructor
__init__ which sets the
name and
for the newly created object age attribute.
Creation of objects
Example:
person1 = Person("John", 30)
This code creates an object of classPersonnamed
person1 and sets its
name and
age properties respectively. for "John" and 30.
Class methods
Class methods are functions that an object can call. They are defined as functions within the class and declared using the def
keyword.
Example:
class Person: def get_info(self): return f"{self.name} is {self.age} years old."
This code creates a method calledget_info()that returns the
name and
age properties of the object.
Class attribute
Class attributes are data members associated with the class itself. They are stored in classes, not in individual objects.
Example:
class Person: species = "Homo sapiens"
This code creates a class attribute calledspeciesthat stores the species of all
Person objects.
inherit
Inheritance allows a class to inherit its properties and methods from another class (parent class). Subclasses have all the functionality of the parent class and can define their own unique properties and methods.
Example:
class Employee(Person): def get_salary(self): return 1000
This code creates a subclass namedEmployeethat inherits the
name and
age properties from the
Person class. A
get_salary() method is also defined to return the employee's salary.
Polymorphism
Polymorphism allows objects of different types with the same parent class to respond differently to the same method. It allows developers to write more flexible and reusable code.
Example:
class Animal: def make_sound(self): raiseNotImplementedError() class Dog(Animal): def make_sound(self): return "Woof!" class Cat(Animal): def make_sound(self): return "Meow!"
This code creates a Animal
base class that has a make_sound()
method. Then create two subclasses Dog
and Cat
, both of which override the make_sound()
method and return different sounds.
Understanding classes and objects in Python is critical to developing reusable, flexible, and easy-to-maintain code. By mastering these concepts, developers can create complex applications and improve the quality of their code.
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