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.
Also Read - 8 Reasons Why Python Is Becoming More Popular Than Java And C
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!
Also Read - Why Learn Python? Top Reasons Why To Learn Python In 2021
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.