Top 10 reasons why you should learn python

Python is one of the most popular and used programming language these days. Even the languages are being used by the programmers from a long time and every day a new language is being launched in the market. Many new aspirants are learning Python and still, there are a few who want to know that why they should learn Python? So, today we have written this blog to enlist the top 10 reasons why someone should learn Python programming language to future-proof their career.

Top 10 Reasons Why Should You Learn Python?

  • Career Opportunities and higher Salaries with Python
  • Python syntax is easy to learn and adapt
  • Extensibility and Portability
  • Robust web app development
  • AI or Artificial Intelligence
  • Big Data
  • Testing Frameworks
  • Data Science
  • Computer Graphics
  • Automation and Scripting

Why Learn Python – Let’s Discuss in detail?

Python is a popular programming language that is being used by the machine learning professionals, AI programmers, and other application developers. So, all may have their own reasons and a few of the most popular are listed below:

1) Career Opportunities and Salaries with Python

With Python, you can enjoy higher salaries and a variety of job options in 2019 and beyond. According to Gartner and, the average salary of a Python developer or programmer is calculated as $116,028 per year. Python has gain immense popularity during the last few years. Here is a quick screenshot from Google Trends to make things clear for you.

Career Opportunities and Salaries with Python

2) The syntax is easy to learn and adapt

One of the most common reasons to like Python is that it is quite easy to learn and code. Besides a simple programming language, it is equally powerful as well. So, programmers can develop any desktop or machine-based application in this language. Main features of the language include:

  • High-Level Language
  • Open Source language that is available for free
  • Interpreted language
  • Large Developer Community

In Python, the syntax is not tough and it can be quickly analyzed by the Hello World code given   below:

“Hello World” Program in Java “Hello World” Program in Python
public class test{
  public static void main(String args[])
    System.out.println(“Hello World”);
print(“Hello, world")


So, it can be seen here that the same code for Hello World takes three lines while the same task can be done in Python just through a single line code. For beginners, Python is always a most liked and preferred language.

3) Extensibility and Portability

Python is considered as an extensible and portable language that means that the code developed in Python can be compatible with many other non-native platforms too. Developers can perform cross-language operations in a seamless manner and the list of other popular non-native platforms includes Windows, Linux, Solaris, and Macintosh etc.

Due to its extensibility feature, Java and .Net codes can also be integrated with Python. The components of other languages can be used with Python quickly and further, it can be used to make a cross-platform suitable application too.

4) Robust Web Application Development

An array of Python-based frameworks helps the developers to develop various web applications. The most popular Python frameworks that are used by the developers are Flask, Django, Pylons, and others. These Python frameworks are also written in Python, so it becomes easy to write the code in these languages and the written code become faster and more stable.

Further, web scraping can be performed with the help of these frameworks through which the information can be fetched from other websites. Many other websites including Instagram, Pinterest, bitbucket, and many others are written in Python.

5) AI or Artificial Intelligence

Artificial intelligence is the technology of the next generation or upcoming era. Through artificial intelligence, machine mimics or human brains can be made, so it is supposed to be a powerful and most popular technology today. Python libraries like Keras and TensorFlow can bring functionality to the applications.

Through Python’s built-in libraries. one can perform many AI operations and functionalities easily. So it becomes easier to achieve AI functionality tasks in Python.

6) Big Data

Data is a most valuable asset for every organization, Python provides a platform and lots of frameworks to handle the big data. Through parallel computing of Python, one can use it for Hadoop programming as well. Pydoop library of Python can be used to write MapReduce programs and to process data that is present in HDFS cluster.

Dask and Pyspark libraries of Python are used for big data processing. So, we can say that Python has many additional libraries that can be used for Big data programming. Mainly the big data or Hadoop programmers use these libraries to write a compatible program that can be suitable for many other platforms and be used there to write programs. Easy syntax and built-in libraries make the programming much easier than your expectations.

7) Testing Frameworks

Like other ready to use frameworks, Python also has the testing frameworks that can be used for validation purpose. Validating ideas of Python helps the Companies to validate and establish their Companies. Python tools like Splinter and Selenium make the testing easier. Cross-browser frameworks like Robot and PyTest are used to check cross-platform and cross-browser functionality.

Testing professionals know that testing is a quite tough task that can be made simpler just by using Python frameworks and tools. This is the reason for which every tester tries to use Python-based tools and frameworks to test any application or code or to validate it in an easier manner.

8) Data Science

For many data scientists, Python is a leading programming language. Many academicians, scholars, and scientists are using Matlab for many years to write the codes for their research work. But with the release of Python-based engines like Numpy and Pandas, one can easily write and test the codes. Python can be used to write and deal with all type of analytical data, tabular matrices, and other types of statistical data too.

9) Graphics Projects

Python can be used for small or larger graphical projects too. It is a good option for designing GUI apps with the help of third-party tools and libraries. Further, it is good for game development where you can write logic for a module to run on Android devices.

10) Automation and Scripting

Python is not only a programming language but it can be used for writing scripts and automate the workflows. The code can be written in the form of scripts and executed later. Further, it is interpreted by the machine and checked for errors at the runtime. Once the code is finalized then it can be reused for multiple tasks and allows you to automate a set of certain tasks within a program or the same code can be used with other apps too.

Final Words:

Finally, it can be said that Python is a most used and powerful programming language that can help the programmers in writing several lines of code within a few minutes without putting more efforts and investments. Additionally, Python code is highly readable and can be understood by developers when required.

About Author

Manchun Pandit loves pursuing excellence through writing and has a passion for technology. He currently writes for, a global training company that provides e-learning and professional certification training. His work has been published on various sites related to Python, Big Data Hadoop, SQL, Data Science, Salesforce, AWS, Devops, SAP, Project Management and more.

Be the first to comment

Leave a Reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.