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Python Tutorial for Beginners

Overview

How to Install Python on Windows?

Lesson - 1

Python OOPs Concept: Here's What You Need to Know

Lesson - 2

Getting Started With Jupyter Network

Lesson - 3

PyCharm Tutorial: Getting Started with PyCharm

Lesson - 4

A Beginner’s Guide To Python Variables

Lesson - 5

Python Numbers: Integers, Floats, Complex Numbers

Lesson - 6

Learn A to Z About Python Functions

Lesson - 7

The Basics of Python Loops

Lesson - 8

Introduction to Python While Loop

Lesson - 9

Python For Loops Explained With Examples

Lesson - 10

Understanding Python If-Else Statement

Lesson - 11

Introduction to Python Strings

Lesson - 12

Everything You Need to Know About Python Slicing

Lesson - 13

All You Need To Know About Python List

Lesson - 14

Python Regular Expression (RegEX)

Lesson - 15

An Introduction to Python Threading

Lesson - 16

Objects and Classes in Python: Create, Modify and Delete

Lesson - 17

The Best Python Pandas Tutorial

Lesson - 18

A Beginner's Guide To Web Scraping With Python

Lesson - 19

A Handy Guide to Python Tuples

Lesson - 20

How to Easily Implement Python Sets and Dictionaries

Lesson - 21

Everything You Need to Know About Python Arrays

Lesson - 22

An Introduction to Matplotlib for Beginners

Lesson - 23

An Introduction to Scikit-Learn: Machine Learning in Python

Lesson - 24

Top 10 Python IDEs in 2020: Choosing The Best One

Lesson - 25

The Best NumPy Tutorial for Beginners

Lesson - 26

Python Django Tutorial: The Best Guide on Django Framework

Lesson - 27

Top 10 Reason Why You Should Learn Python

Lesson - 28

How To Become a Python Developer

Lesson - 29

Top 50 Python Interview Questions and Answers in 2020

Lesson - 30
Python OOPs Concept: Here's What You Need to Know

Python is a super-popular programming language particularly suited for developing GUIs and web applications. It is also a popular choice for application development because it offers dynamic typing and binding options. In this article, we will be learning about Python object-oriented programming (OOP) concepts.

We will cover the following topics in this article:

  • What is the Python object-oriented programming concept?
  • What is a class?
  • What is an object?
  • The _init_method
  • Creating classes and objects in Python
  • Python OOPs concept
    • Inheritance
    • Polymorphism
    • Abstraction
    • Encapsulation

What Is the Python Object-Oriented Programming Concept?

Object-oriented programming (OOP) is a methodology that focuses on classes and objects. The concept of OOP in Python focuses on building efficient and reusable code. This is also known as DRY (don't repeat yourself). Every individual object represents a different part of the application having its own logic.

For instance, an object could represent a car with a name, model, and color as attributes.

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What Is a Class?

The class can be defined as a collection of objects that define the common attributes and behaviors of all the objects. 

Class is defined under a “Class” keyword.

Example:

defining

Fig: Defining a class

What Is an Object?

The object is an entity that has state and behavior. It is an instance of a class that can access the data.

Example:

an-object

Fig: Defining an object

The _init_method

The _init_ method is run as soon as an object of a class is created. This method is useful for passing initial value to your objects. 

init

Fig: _init_ method

Creating Classes and Objects in Python

Fig: Creating class and objects

Here, emp1 and emp2 are objects of the class employee.

Python OOP Concepts

The four major OOP concepts are:

1. Inheritance

  • This refers to defining a new class with little or no modification to an existing class
  • The new class is known as a derived (or child) class, and the one from which it inherits is known as  the base (or parent) class. 
  • The derived class inherits features from the base class, which adds new features to it. 

Example:

inheritence

Fig: Inheritance

We have created a class called childemployee, which is inheriting the properties of a parent class, and emp1 is passed as a parameter.

2. Polymorphism

In OOP, polymorphism refers to a programming language's ability to process objects in more than one form. It is the ability to redefine methods for derived classes.

Example:

polymorphism

Fig: Polymorphism

In the preceding example, we have created two classes—childemployee1 and childemployee2—which are derived from the base class employee.

3. Abstraction

Abstraction is a programming methodology in which details of the programming code are hidden from the user—only the essential information is displayed. Abstraction focuses on ideas, rather than events. 

Examples:

abs

Fig: Abstraction

In the preceding example, we have imported an abstract method. An object is created for childemployee base class, and the functionality of the abstract class is used.

5. Encapsulation

The binding of data and function into one single unit is known as encapsulation. Encapsulation keeps the data safe from misuse and changes in the code can be done independently.

Example:

encap

Fig: Encapsulation 

In the class “Person,” there are two variables, and we have accessed those variables directly and through a method.

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Conclusion

In this article, we looked at the Python OOPs concepts. We discussed the four major OOP concepts and illustrated those concepts with visual examples. 

If you have any questions, please ask them in the comments section, and we'll have our experts answer them for you.

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About the Author

Avijeet BiswalAvijeet Biswal

Avijeet is a Senior Research Analyst at Simplilearn. Passionate about Data Analytics, Machine Learning, and Deep Learning, Avijeet is also interested in politics, cricket, and football.

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