Applications of Python

One of the reasons for the popularity of the Python programming language is its wide range of applications. Learning a programming language, you should know it’s uses.

Python’s simplicity, portability, extensibility, embeddable nature, a vast library, etc. make it preferred as a choice to develop.

Let’s not wait and take a peek into Python applications.

Applications of Python

1. Web Development

Python is widely used in web development. It makes use of simple code to build a beautiful and functional website. It has related libraries and modules like HTTP, XML, JSON, IMAP, POP, FTP, etc. These help in storage in databases, content management, and interfacing with internet protocols.

It also has frameworks integrated with it like Django, Flask, Pyramid, and Bottle. In addition, Python also comes with packages like Beautiful Soup, Twisted Python, and Feedparser.

2. Artificial Intelligence and Machine Learning

Many AI and ML models are built using Python. Data analysts use it too. The fundamental cause for this is the availability of many tools and libraries specific to these applications. Some of them include:

• Pandas for Data Manipulation and Analysis.
• NumPy and SciPy for mathematical computations.
• Seaborn and Matplotlib for visualization.
• Scikit learn, Tensor Flow, Keras for algorithms

3. Game Development

One of the interesting applications of the Python Programming language is to build games like egg catcher, snake game, etc.

Python comes with packages like Pygame and Pykyra to build awesome games. It facilitates the development of 3D games with respective libraries. It is also used for scripting in many game engines.

Famous games like Battlefield 2, World of Tanks, Toontown Online, and Civilization 4 are also built using Python.

4. Desktop GUI Development

Its simplicity and platform independence nature make it a good choice for GUI applications. Though Tkinter is the standard library for GUI development, there are other supporting libraries like:

• Wx Python
• Kivy
• PyQt, PySide
• PyGUI
• Delphi
• GTK+

5. Enterprise/ Business Applications

Business applications are developed keeping in mind the comfort and ease of usage by the organization. Python’s features like scalability, extensibility, and readability make it the best choice for business applications.

The following used Python:

• Odoo: This is an all-in-one business management software for enterprising purposes.
• Tryton: general-purpose, high level, third-tier business application

6. Software Development

Python supports the development of software with its libraries and packages. It is used for building, testing, management, and so on. For example

• Scons help in build control
• Buildbot and Apache are used for autonomous and continuous testing.
• Roundup and Trac test and manage errors.

7. Educational Purposes

Python helps beginners get introduced to the Programming environment. It is because of its simple syntax and beginner-friendly nature. Another reason could be its scope and reach in the development community.

8. Operating Systems Development

Many operating systems are using Python as a backbone. Generally, it is used along with C. Some of them are as follows:

• Linux based Ubuntu’s Ubiquity Installer
• Anaconda Installer of Red Hat Enterprises

9. Language Development

Yes! Python being one of the programming languages helps in building other languages. These have similar syntax object models and indentation as compared to Python. Its architecture is taken as inspiration to build:

• Swift
• Boo
• Cobra
• CoffeeScript
• OCaml

10. Networking Programming

Besides these high-level facilities, it also supports low-level network programming. The framework TwistedPython serves for this purpose. It also avails a socket interface for ease.

11.Scientific and Numeric Computations

Python can also serve in doing scientific and numeric calculations. Thanks to its concerned libraries that makes these calculations easier. Apps like Abacus and FreeCAD are built using Python. Some of the libraries that can do these calculations are:

• NumPy
• SciPy
• Pandas
• Natural Language Toolkit

12. Web Scraping

Nowadays, Python is being widely used for web scraping purposes. We can access the huge data over the internet using these web scraping techniques. And this data is useful in different ways like for analysis purposes.
Some of the tools that are available in Python for scraping are:

• BeautifulSoup
• Python Request
• Scrapy
• MechanicalSoup
• Selenium

13. Image Processing and Graphic Designing

Using Python, one can process images using libraries like Opencv and Scikit Image. These have become popular recently for image analysis, especially in the research field.

Python is also used in animation fields. Many 2D applications like GIMP, Paint Shop Pro and Scribus and 3D animation applications like Blender, Maya, Lightwave, and 3ds Max use Python at the backend.

14.Text Processing

Text processing means automatic processing of electronic text. It involves tasks like searching, formatting, generating content, and filtering based on text.

You would have heard of NLP (Natural Language Processing). If you have not heard, you would have at least used it. The suggestions our mobile’s keyboard gives is because of NLP. This is one of the text processing applications using Python.

15. Data Science and Data Analysis

Data Science and Data Analysis are two of the booming fields in the market. This involves analysis of a huge amount of data, finding relations and doing future predictions. Python modules like NumPy, Pandas, Matplotlib and Seaborn serve this purpose.

16. Audio and Video Applications

We can use Python to build audio and video player applications. Also these apps built using Python show better performance compared to that of the other ones. Some examples include CPlay and TimePlayer.

17. Integration to Embedded Systems

Embedded Systems and IoT are becoming popular and necessary in many places. These use Embedded C as the backend language. Since Python is built on C Programming language, it can communicate with these devices. One such famous device that uses Python is Raspberry Pi.

18. Building CAD Apps

CAD (Computer aided design) has become a common tool for engineers and architects. They use it to creare designs, which needs high end tools to build. Python with its user-friendly features serves for this purpose. One of the CAD applications that uses Python is Fandango.

19. Access to Database

Python can also integrate with databases. Python has:

• Interfaces to database management systems like MYSQL, Oracle, MS SQL server, PostgreSQL, and so on.
  Standard Database API.
• Connection to object databases like ZODB and Durus.

20. Robotics

In robotics, Python is a popular language used by both hobbiestics and companies. One of its uses include Raspberry Pi to build robotic models. Python is also used in companies for robotic process automation (RPA) to build working arms and other models.

21. Console based Apps

Python serves as a suitable choice to build console-based applications because of its REPL (Read-Eval-Print Loop) principle. Also, the presence of libraries that can handle command-line arguments adds to this.

Some advanced libraries in Python can also be used to build console-based Applications.

Interview Questions on Python Applications

It’s Question Time! Let’s discuss some of the questions in the topic “Applications of Python”.

Q1. What do you think are the main reasons for this variety of applications of Python?

Ans 1. The main reason for its wide range of applications is its programmer friendly features. Some of which include:

• Simplicity
• Vast Libraries
• Object oriented and Functional
• Portability
• Extensibility and embeddability

Q2. Where are the areas Python can be used for Development?

Ans 2. In addition to the fields Python covers, it can further be applied in:

• Blockchain: Because understanding python is easy, it can be used for Blockchain development. Frameworks like Flask and HTTP requests can help to integrate it to the Internet.
• Command Line applications: Because of its Read-Eval-Print-Loop (REPL) principle, Python is suitable for this purpose.
• Audio and Video Applications: Audio and Video files are loading the internet nowadays. Python cab used for their analysis using libraries like OpenCV and PyDub

Q3. What do you think are the areas where Python is not recommended or has to improve?

Ans 3. Every language needs improvements for adapting to the future requirements. Likewise, Python is also following this rule with continuous additions. Some of the fields it could be lacking behind are:

• System Programming: Because of its slow speed, it is used less for system programming purposes.
• Game Development: Python is suitable to build basic games. But to develop high end games that are getting popular nowadays, it lacks behind.
• App Development: It is rarely used for this purpose. Main reasons for this are slow speed, memory inefficiency, and security problems.
• Embedded Systems: Again the same reasons, slow speed and memory efficiency!

Conclusion

Thus, Python is a versatile language and it has its hand in the development of multiple fields.

What are you waiting for? Get yourself ready to build projects in a wide range of areas or you may also add one to this list!

Happy Coding!!