Curriculum
Object-Oriented Programming in Python is one of the most important programming paradigms used in Artificial Intelligence, Machine Learning, Data Science, backend development, and large-scale software systems. Object-Oriented Programming helps developers organize code using classes and objects, making applications scalable, reusable, and easier to maintain.
Object-Oriented Programming in Python is widely used in:
Understanding Object-Oriented Programming in Python helps developers build professional and scalable AI applications.
Object-Oriented Programming (OOP) is a programming approach based on:
OOP organizes software into reusable and modular structures.
Artificial Intelligence systems often contain:
Object-Oriented Programming improves:
Modern AI frameworks like TensorFlow and PyTorch heavily use OOP concepts internally.
A class is a blueprint for creating objects.
Classes define:
Python uses the class keyword.
class Student:
passObjects are instances of classes.
class Student:
pass
student1 = Student()Here:
Student is the classstudent1 is the objectThe __init__() method is a constructor automatically executed when objects are created.
class Student:
def __init__(self, name):
self.name = name
student1 = Student("Rahul")
print(student1.name)Output:
Rahulself refers to the current object.
It allows objects to access:
Methods are functions defined inside classes.
class Student:
def __init__(self, name):
self.name = name
def show(self):
print(self.name)
student1 = Student("AI")
student1.show()Output:
AIEncapsulation restricts direct access to data and protects object integrity.
class Bank:
def __init__(self):
self.__balance = 1000
def show_balance(self):
print(self.__balance)
account = Bank()
account.show_balance()Output:
1000Encapsulation improves:
Inheritance allows one class to acquire properties and methods from another class.
class Person:
def show(self):
print("Person Class")
class Student(Person):
pass
student = Student()
student.show()Output:
Person ClassInheritance improves:
Child classes can override parent class methods.
class Person:
def show(self):
print("Person")
class Student(Person):
def show(self):
print("Student")
obj = Student()
obj.show()Output:
StudentPolymorphism allows methods to behave differently based on objects.
class Cat:
def sound(self):
print("Meow")
class Dog:
def sound(self):
print("Bark")
animals = [Cat(), Dog()]
for animal in animals:
animal.sound()Output:
Meow
BarkAbstraction hides internal implementation details and exposes only necessary functionality.
from abc import ABC, abstractmethod
class Vehicle(ABC):
@abstractmethod
def start(self):
passAbstraction improves:
Python provides:
| Modifier | Syntax |
|---|---|
| Public | variable |
| Protected | _variable |
| Private | __variable |
class Student:
course = "AI"class Student:
def __init__(self, name):
self.name = nameObject-Oriented Programming in Python is used in:
Professional AI applications rely heavily on modular object-oriented architecture.
Machine Learning libraries use OOP concepts extensively.
Examples:
OOP helps organize large-scale AI systems efficiently.
Good OOP practices improve scalability and maintainability.
Occurs when accessing undefined attributes.
Occurs when incorrect parameters are passed.
Occurs due to improper spacing.
Object-Oriented Programming in Python is essential for:
Professional AI developers must understand object-oriented software architecture.
Object-Oriented Programming is a programming approach based on classes and objects.
AI systems are large and complex, and OOP improves organization, scalability, and reusability.
A class is a blueprint used to create objects.
Inheritance allows child classes to acquire properties and methods from parent classes.
TensorFlow, PyTorch, and Scikit-learn use Object-Oriented Programming extensively.