With Python Programming, we can develop 9+ Real-Time Applications
1) Web Applications Development.-
a) Java------>Servlets , JSP
b) C#.net---->ASP.net
c) Python---->Django,Falsk, Bottle...etc
Writing a Program in Java Programming and C# Programmimg is a little complex but writing a program in Python Programming is dead easy. With the help of Libraries. some standard Libraries in Python are- TML and XML JSON and Support for FTP, IMAP etc.
Example-
Netflix- Netflix used to rent DVDs by post and quickly jumped on the digital bandwagon and expanded to become one of the most popular streaming services in the world.From a web development standpoint, Developers at Netflix explain that they use Python throughout “the full content lifecycle.” In short, this means that Python sits at the base of many Netflix applications from their security tools and recommendation engine, to their in-house content distribution network, Open Connect (which delivers streaming content to its end users).
2) Gaming Application Development-
Popular games like Pirates of the Caribbean, Bridge commander, and Battlefield 2 use Python programming for a wide range of functionalities and addons. The presence of popular 2D and 3D gaming libraries like pygame, panda3D, and Cocos2D make the game development process completely effortless.
3) Artificial Intelligence-----Machine Learning and Deep Learning. Tensor Flow These are used for the development of Robotics.
Python plays a vital role in AI coding language by providing it with good frameworks like sci-kit-learn: machine learning in Python, which fulfills almost every need in this field and D3.js – Data-Driven Documents in JS, which is one of the most powerful and easy-to-use tools for visualization.
Example- Robotics, the Finance sector
4) Desktop GUI Applications-
Python is an interactive programming language that helps developers to create GUIs easily and efficiently. It has a huge list of inbuilt tools like PyQT, kivy, wxWidgets, and many other libraries like them to build a fully functional GUI in an extremely secure and efficient manner.
5) Image Processing applications.-
Example-
Live Air Games- This project will make use of the OpenCV and Python Pygame modules. The Pygame module is a 2-D game development engine in Python that offers various tools for I/O and other functionalities. The player’s instructions can be captured via the webcam in the designated regions of the screens. Live Air games are one of the best image processing projects. Instructions include moving left, right, jumping, or grasping something.The live camera feed needs to be broken down into frames and then matching them with the instruction database for moving the player. You can implement this either on an existing game like Hill climb racing or create a new one for this!
6) Text Processing Applications-
This is different from the communication between a computer and a human where the communication is wither a computer program written by
a human or some gesture by human-like clicking the mouse at some position. NLP tries to understand the natural language spoken by humans and c classify it, analyses it as well if required respond to it. Python has a rich set of libraries that cater to the needs of NLP.
The Natural Language Tool Kit (NLTK) is a suite of such libraries which provides the functionalities required for NLP.
Example- changing the direction of text like vertical of Text, Reverse the word etc
7) Business Applications.-
Business Applications are different than our normal applications covering domains such as e-commerce, ERP and many more.
They require applications that are scalable, extensible and easily readable and Python provides us with all these features.
Platforms such as Tryton are available to develop such business applications.
Example- Uber app
8) Audio and Video-Based Applications-
We use Python to develop applications that can multi-task and also output media. Video and audio applications such as TimPlayer, Cplay have been developed using Python libraries. They provide better stability and performance in comparison to other media players.
Example- Youtube
9) Web Scrapping Applications / Web Harvesting Applications-
Python is a savior when it comes to pulling a large amount of data from websites which can then be helpful in various real-world processes
such as price comparison, job listings, research and development and much more.
Example-
Comparison of Shopping site- Some several websites and applications can help you to easily compare pricing between several retailers for the same product. One way that these websites work is by using web scrapers to scrape product data and pricing from each retailer daily. This way, they can provide their users with the price comparison data they need.
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