Applications of Python

Before learning python, should we understand first,  where it will be used ? We were continuously thinking why Python is one of the most used programming languages nowadays?

Then we started researching on it and found that Python is famous for its simple syntax and general purpose language that fits it in every domain of software development.

Python has wide support (large community) and extensive features. We can develop any application very quickly using python.

Here’s a quick list of python applications :-

Applications of Python Programming in 2020,

Text processing

Python language can split, separate, summarize and report on any data, that means it can be used to process textual data for different requirements in data analysis. This text processing ability of python is used for Natural language processing (NLP).

NLP makes it possible for machines to read text, hear speech and interpret it.

NLP is used for making search engines, voice based applications like Alexa, Siri and other chatbots, spell checker and many more.

Web Applications

Python is also used for developing web applications. Python  comes with a set of modules that allow you to communicate over the network sockets, both at a basic level and at a protocol level.

Python also  supports XML, HTML and CGI libraries so you can parse user input and produce top-quality formatted data output.

There are so many frameworks in python for web applications like Django, Flask, CherryPi, Pyramid, Grok etc.
Many of today’s most successful tech companies are choosing python language for the back-end of their website.

For example: Google, Instagram, Spotify, Uber, reddit etc.

Instagram currently features the deployment of Django web framework.

Game development

Python is also used in game development. There are so many modules in python for game development e.g PyGame, PySoy, Panda3D etc.

Desktop GUI Applications

Python is used for developing desktop applications. It provides the Tkinter, wxPython and PyQt modules to develop the graphical user interface.

Machine learning and Artificial Intelligence

Machine Learning  helps people to work more creatively and efficiently. Python provides a huge library for machine learning and artificial intelligence.

For example :-

  • Pandas
  • Scikit Learn
  • Numpy
  • Keras
  • TensorFlow
  • NLTK
  • Caffee
  • PyTorch
  • Accord.NET

There are many other libraries which help us to program artificial intelligence and machine learning. Machine Learning algorithms are good at handling data.

Audio and Video Applications

Python language is very efficient to perform multiple tasks, so it can be used to create media applications such as cplay, timplayer etc.

Python provides many multimedia libraries :-

  • Pyglet
  • Gstreamer

Data Visualization and Data Science

Python is one of the most popular languages used by data analysts and software developers alike for data visualization and data science tasks. It is used to automate tasks, predict outcomes, streaming processes, and offer  many business intelligence insights.In IT industry, data scientist has a lot of jobs.

There are few library in python for data visualization :-

  • Matplotlib
  • Seaborn
  • Bokeh
  • Plotly
  • Pydot

Business Softwares

Python programming helps us to develop effective ERP and e-commerce softwares now-a-days and is used for replacing Excel, which isn’t scalable for modern business needs.

Network Programming

Python programming provides support for lower level networks  services. At a low level, you can  easily access the basic socket interface, which supports the underlying operating system.

It allows us to implement clients and servers programs for both connection-oriented and connectionless protocols in networking.

Python language also has modules that provide higher-level accessibility for specific application network protocols, such as FTP, HTTP etc. and Twisted Python framework for asynchronous network programming in Python. See this

Apart from just we discussed, there are many more applications of python programming, are listed below :-

  • Face and Object detection applications
  • Robotics
  • Scripting
  • CAD applications
  • Data Analysis
  • ERP Solutions

If you  are interested you check our python tutorials also for more stuffs.