Tutorial Playlist

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

Lesson - 25

The Best Guide to Time Series Analysis In Python

Lesson - 26

An Introduction to Scikit-Learn: Machine Learning in Python

Lesson - 27

A Beginner's Guide To Web Scraping With Python

Lesson - 28

Python Django Tutorial: The Best Guide on Django Framework

Lesson - 29

Top 10 Reason Why You Should Learn Python

Lesson - 30

10 Cool Python Project Ideas For Beginners in 2021

Lesson - 31

The Best Ideas for Python Automation Projects

Lesson - 32

12 Tips On How To Become a Python Developer

Lesson - 33

The Best Guide for RPA Using Python

Lesson - 34

Comprehending Web Development With PHP vs. Python

Lesson - 35

The Best Tips for Learning Python - REMOVE

Lesson - 36

The Best Way to Learn About Box and Whisker Plot

Lesson - 37

An Interesting Guide to Visualizing Data Using Python Seaborn

Lesson - 38

The Complete Guide to Data Visualization in Python

Lesson - 39

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

Lesson - 40

The Complete Simplified Guide to Python Bokeh

Lesson - 41

Top 150 Python Interview Questions and Answers for 2022

Lesson - 42

The Supreme Guide to Understand the Workings of CPython

Lesson - 43
Top 10 Reason Why You Should Learn Python

Python is a very popular programming language today and often needs an introduction. It is widely used in various business sectors, such as programming, web development, machine learning, and data science. Given its widespread use, it’s not surprising that Python has surpassed Java as the top programming language. In this article, you will discover the top ten reasons why you should learn Python.

What is the Python Programming Language?

  • Python is a high-level, object-oriented programming language with built-in data structures and dynamic semantics. It supports multiple programming paradigms, such as structures, object-oriented, and functional programming.
  • Python supports different modules and packages, which allows program modularity and code reuse.
  • Python was created by Guido van Rossum.


Why Learn Python - Find The Top 10 Reasons 

1. Career Opportunities and Salary

Python language provides several job opportunities and promises high growth with huge salary prospects. Some of the big and renowned companies that use Python for their development are:

career.Here is a look at the Google trends for Python, C++, and Java in the United States: 


The demand for Python Programming is increasing dramatically by the year. Let’s look at the following graph to understand this trend:


Here is a sneak peek at the average salary of a Python Developer:


Python Training Course

Learn Data Operations in PythonExplore Course
Python Training Course

2. Data Science

Python is known for being robust, scalable and provides extensible visualization and graphics options. Hence it’s widely used in Data Science. Python supports several popular libraries. Some of them are as follows:


3. Machine Learning

Python is among the programming languages most preferred for Machine Learning because of its simple syntax and its support of several machine learning libraries.


4. Web Development

Python provides a vast collection of frameworks that makes it much easier for developers to develop web applications.


5. Scripting and Automation

Python language can be used for writing scripts and automating workflows without human intervention. This makes it very convenient.


6. Libraries and Packages

Python has a range of libraries, packages, frameworks, and modules for data manipulation, statistical calculations, web development, machine learning, and data science.


7. Testing Frameworks

Python supports several built-in testing frameworks that help in debugging and speeding up workflows. Some of the tools and frameworks supported by Python are Pytest and Splinter.


8. Portable and Extensible

A code developed in Python is often compatible with most of the non-native platforms. It can be integrated with Java, .NET components, or C/C++ libraries.


9. Active Community

Python has a massive community that can help you in programming errors or issues with the software. You can post your queries in community forums, and community members will address it in real quick time.


10. Easy to Use

Python has a simple syntax and hence is easy to understand and learn. Thus, making it a popular pick when it comes to programming languages.




public class welcome {

public static void main (String args[ ] ) {

System.out.println (“ Welcome to Simplilearn ”) ;



print ( ‘ Welcome to Simplilearn ‘ )

As you can see, the same code can be written using fewer lines in Python. Thus, making it much simpler to use on many levels.

Looking forward to making a move to the programming field? Take up the Python Training Course and begin your career as a professional Python programmer.

Start Your Career As a Python Developer

Now that you know the Top 10 reasons to learn Python Programming, and how it can give you a career boost, the next step is simple. Simplilearn’s comprehensive Python Training Course trains you in the basics of Python, data operations, shell scripting, conditional statements, and Django. The course offers hands-on development experience and will prepare you for an exciting and accelerated career in Python programming. You can visit Simplilearn for further information.

Do you have more questions regarding Python, its features, or scope? Don’t fret. Leave us your queries as a comment on this article, and our experts will get back to you on it, at the earliest!

About the Author

Aryan GuptaAryan Gupta

Aryan is a tech enthusiast who likes to stay updated about trending technologies of today. He is passionate about all things technology, a keen researcher, and writes to inspire. Aside from technology, he is an active football player and a keen enthusiast of the game.

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