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Python Tutorial for Beginners


The Best Tips for Learning Python

Lesson - 1

How to Install Python on Windows?

Lesson - 2

Top 10 Python IDEs in 2022: Choosing The Best One

Lesson - 3

A Beginner’s Guide To Python Variables

Lesson - 4

Understanding Python If-Else Statement

Lesson - 5

Python Numbers: Integers, Floats, Complex Numbers

Lesson - 6

Python Strings | Simplilearn Python Tutorial

Lesson - 7

The Basics of Python Loops

Lesson - 8

Python For Loops Explained With Examples

Lesson - 9

Introduction to Python While Loop

Lesson - 10

Everything You Need to Know About Python Arrays

Lesson - 11

All You Need To Know About Python List

Lesson - 12

How to Easily Implement Python Sets and Dictionaries

Lesson - 13

A Handy Guide to Python Tuples

Lesson - 14

Everything You Need to Know About Python Slicing

Lesson - 15

Python Regular Expression (RegEX)

Lesson - 16

Learn A to Z About Python Functions

Lesson - 17

Objects and Classes in Python: Create, Modify and Delete

Lesson - 18

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

Lesson - 19

An Introduction to Python Threading

Lesson - 20

Getting Started With Jupyter Network

Lesson - 21

PyCharm Tutorial: Getting Started with PyCharm

Lesson - 22

The Best NumPy Tutorial for Beginners

Lesson - 23

The Best Python Pandas Tutorial

Lesson - 24

An Introduction to Matplotlib for Beginners

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The Best Guide to Time Series Analysis In Python

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An Introduction to Scikit-Learn: Machine Learning in Python

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A Beginner's Guide To Web Scraping With Python

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Python Django Tutorial: The Best Guide on Django Framework

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Top 10 Reason Why You Should Learn Python

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10 Cool Python Project Ideas For Beginners in 2021

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The Best Ideas for Python Automation Projects

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12 Tips On How To Become a Python Developer

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The Best Guide for RPA Using Python

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Comprehending Web Development With PHP vs. Python

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The Best Tips for Learning Python - REMOVE

Lesson - 36

The Best Way to Learn About Box and Whisker Plot

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An Interesting Guide to Visualizing Data Using Python Seaborn

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The Complete Guide to Data Visualization in Python

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Everything You Need to Know About Game Designing With Pygame in Python

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The Complete Simplified Guide to Python Bokeh

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Top 150 Python Interview Questions and Answers for 2022

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The Supreme Guide to Understand the Workings of CPython

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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.



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.



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. 


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. 



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.



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. 



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.



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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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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