Top 10 Reasons Why Python is So Popular and Why You Should Learn Python

 



Every decade brings a new programming language that sweeps developers off their feet. One of the most popular and in-demand programming languages is Python. Stack Overflow recently ranked Python ahead of Java, C, and C++. Certification in Python is becoming increasingly popular among programmers. In this blog, I'll list my top 10 reasons Why Python is So Popular?


The right time to dive into Python is now when the technology is at its nascent stage and you can learn the skills. Here are some reasons why people choose Python as their first programming language:


1. Simple & Easy To Learn


Python is very simple and easy to learn. The language is versatile and it is similar to English!


What makes it simple? The language Python


Open-source & free

High-level

Interpreted

Work with Large Community

Furthermore, Python does not require complex syntax.


You have to write the above three lines to print 'hello world' in C, but just one line is necessary for Python.


The best thing about the code is its simplicity, which makes it suitable for beginners.


2. Portable and expandable            


Python is portable and extensible, enabling seamless cross-language operations. The majority of platforms are compatible with Python, including Windows, Linux, Macintosh, Solaris, Playstation, and others.


You can integrate Java and .NET components with Python's extensibility features. You can also use C and C++ libraries.


3. Development of Web Sites


The Python programming language has several frameworks for building websites. Django, Flask, Pylons, etc., are popular frameworks. Python's ability to write fast and stable code is the primary reason behind these frameworks. 


 Alternatively, you can perform web scraping to retrieve information from any other website. It is also surprising that many websites such as Instagram, BitBucket, and Pinterest are built only on these frameworks.


4. Artificial Intelligence


Artificial intelligence is the next revolution in technology. Machines that can analyze, think and make decisions can mimic the human brain.


Those libraries include Keras and Tensor Flow. They let you learn without explicitly programming. Additionally, libraries such as opens can assist with computer vision and image recognition.


5. Computer Graphics


It is popular for small, large, online, and offline projects. You can use it to build GUI and desktop applications. It uses the Tkinter library to create applications quickly and easily.


A module 'pyramid' is also used in game development, and this module runs on Android as well.


6. Testing Framework


Python is a valuable tool for validating ideas and products for established companies. Several built-in Python testing frameworks cover debugging & fastest workflows. Selenium and Splinter are just two of the many tools and modules that make things easier.


This tool supports cross-platform and cross-browser testing with frameworks like PyTest and Robot Framework. Python is the booster for testing, so every tester should use it.


7. Big Data


Python handles a lot of data hassles. You can also use Python for Hadoop using parallel computing. The Python library Pydoop allows you to write Map Reduce programs and process data from HDFS by writing a MapReduce program in Python.


Other data processing libraries include Dask and Pyspark. As a result, Python is popular for processing Big Data!


8. Scripting & Automation


It's common knowledge that Python is a programming language, but you can also use it as a scripting language. Scripting involves:


Scripts are written to execute code

using a machine that reads and translates the code

Runtime error checking

Once the code passes verification, you can use it again and again. This way, you can automate certain tasks in a program. 


9. Data Science


The leading language of many data scientists is Python. It was once common practice for academic scholars and private researchers to use MATLAB, but all that changed after Python numerical engines such as Numpy and Pandas were released. Python can also handle tabular, matrices, as well as statistical data, and it even visualizes them with libraries like Matplotlib and Seaborn.


10. Popularity of Python & High Salary


Python engineers earn one of the highest salaries in the industry. Python Developer salaries in the United States average $116,028 annually. In recent years, Python has become more popular. Here you come across Why You Should Learn Python in 2022.

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