Applications of Python :

Python is no doubt a powerful, easy-to-use, and versatile language. It has very simple English-like syntax and has a huge community of awesome developers. Python is a general-purpose programming language which means it can be used for writing software in a wide variety of domains.

These features of python have encouraged developers all around the globe to create some helpful libraries and frameworks which extend the application of python in almost every field.

Web Development

Web development in itself is a huge domain and Python is one of the most preferred languages.

Python can be used in web development to create the backends for websites.

Basically, there are two parts of a website:

1. Frontend: All the part of the website that is visible to you
2. Backend: All the behind the scene work that is performed on your request A simple example to understand this can be Google.

When searching anything on google, all the results we see are called the Frontend, and the work that google does to bring those results is done by the backend. You can only appreciate the backend but cannot see it (unless you work at Google lol)

The most popular frameworks of Python for creating backends are:

• Flask
• Django

Both of these allow creating a fully functional website. They are easy to learn as they have great documentation.

Many big websites like Instagram, Netflix, Spotify use Python for the development of their product.

Developing Games

Python can be used for game development. It can be used to create both 2D and 3D games. One of the most popular modules for 2D game development is PyGame. It is simple, easy to learn, and has a huge community.

We can use it to create games like Flappy Bird, Tic Tac Toe, Minesweeper, etc. Not only 2D games we can also make 3D games, for this PySoy can be used.

Some of the famous games that used Python include Battlefield 2, Pirates of the Caribbean Online, The Sims 4, World of Tanks, Vega Strike, etc.

Creating GUI Apps

Python can run on almost all platforms and this makes it a great choice to develop Graphical User Interface (GUI) based applications.

Tkinter, PyQt, and Kivy are some of the most famous libraries for this purpose.

Tkinter comes as an inbuilt module with Python by default. The other two can be installed very easily.

Some famous applications made with Python are Anki, Dropbox.

Performing Complex Calculations

This is yet another field where simple syntax and powerful libraries help a lot.

In the research field, there is a need for a lot of complex calculations that need to be performed quickly. For this many mathematicians and computer scientists have created libraries like SciPy and Numpy that enable us to do complex mathematical calculations very quickly.

Some of the most famous libraries used for performing complex mathematical calculations are :

• SciPy is used for scientific computation
• Numpy supports the use of large multidimensional arrays and matrices
• Pandas is the most famous data analytics library

Artificial Intelligence and Machine Learning

AI and ML are buzzwords nowadays with huge potential and a ton of people getting into these and surely Python does not want to lag behind.

This field includes the use of libraries from different domains because in AI and ML there are many tasks like collection of data, data analysis, and advanced scientific calculation on the data.

Some most commonly used libraries are:

• TensorFlow by Google
• Pytorch by Facebook
• Keras
• Scikit Learn

These libraries are extremely powerful and many of the big companies use them.

You can easily start learning these by following the official documentation by going to their website.

Software Development

Python has many packages which aim to simplify some task or the other. This is the reason why Python is used for development and as a support language for management and testing.

The most popular tools and libraries for this purpose are SCons, Buildbot, Trac, etc.

Business Applications of Python

Python is used in business/enterprise applications. These are very different from standard applications. These applications focus mainly on readability, extensibility, and scalability. Another important point in this domain is the capability to integrate with legacy systems.

Python can handle these things easily with its useful features like performance, flexibility, cross-platform support, scalability.

Examples of these tools include Oddo and Tryton.

Human-Machine Interaction

As everything is now becoming digital, interacting with machines has become a necessity rather than a skill. These days it is very easy to find Python being used in different fields for interacting with machines.

The steep learning curve of Python makes it a great choice in the fields where programming is not the main skill.

An example of this scenario is that Mechanical Engineers are taught python which helps them to create and test various complex projects. This includes things like making a digital circuit, a model of a machine, or making a machine using Raspberry Pi or Arduino.

Audio and Video based Applications of Python

Python has many packages which can be used for multimedia applications. TimPlayer and Cplay have been developed using Python.

Some packages that can be used for this purpose are wave, audioloop, gstreamer, pyglet.

Image Processing and Graphic Design Applications of Python

Python allows us to work with images. We can do some processing on the images to make them beautiful or we can analyze them to extract some useful information.

OpenCV and Pillow are two modules that allow us to do almost anything with the images.

One of the most famous applications of OpenCV is OCR (Optical Character Recognition), which uses Machine Learning to detect the written text in images.

CAD Applications of Python

CAD or Computer Aided Designing is the use of computers to help in the creation, modification, analysis, and optimization of a design. This is heavily used in fields like automobiles, weapons, and the aerospace industry.

Python supports a wide range of CAD applications like Fandango, FreeCAD.

Scraping Websites

Python is the first choice when it comes to extracting and handling huge amounts of data from websites. Extracting data from websites may include many applications in various fields like research, price comparison, job listing.

Some popular libraries and frameworks which are commonly used for this purpose are :

• 1. BeautifySoup
• 2. Scrapy
• 3. Requests
• 4. Selenium