Python is the top most used language in the software field and it has applications in almost every domain. As python is an easy and reliable programming language, it becomes the first choice for development amongst data scientists, game developers, software developers, and automation engineers. The main reason behind this is, Python helps developers in focusing on their current programming tasks as well as on the core functionality of Python programming.
There are multiple key areas where Python has its best applications. It is utilized in different domains for unique reasons. Here we will discuss top application areas of Python programming language.
Also Read: Why Python language is best for Machine Learning and Artificial Intelligence?
1.Web and Internet Development
Python helps you in developing a web application without any trouble. Python also provides libraries for a number of internet protocols: Java Script Object Notation, e-mail processing, HTML and XML, File Transfer Protocol, easy-to-use socket interface, and many more.
Some more libraries:
Paramiko : It helps in implementing the SSH2 protocol
BeautifulSoup : An HTML parser
feed parser : For parsing RSS/Atom feeds
Twisted Python: used in asynchronous network programming
Requests: An HTTP client library
Python also has some important frameworks available. Some of these are- Django, Pyramid, Flask, Bottle and many more. in this, flask and the bottle is the microframework libraries of python. With the use of Python, we can also write CGI scripts and can get advanced content management systems like Django CMS and Plone.
2. Desktop GUI
Python is popular for its vast collection of libraries. python also has some libraries for building desktop GUI applications. Kivy, PyGTK and Camelot are some of the amazing libraries and toolkits available in Python for building desktop GUI. many of the binary distributions of Python programming ship with Tk, which is a standard GUI library will let you draft a user interface for an application.
some toolkits available with Python are:
wxWidgets
Kivy: to write multitouch applications
Qt via pyqt or PySide
Some platform-specific toolkits:
GTK+
Microsoft Foundation Classes through the win32 extensions
Delphi
3. Science and Numeric Applications
Python has some specific libraries and functions available for scientific and numeric applications. This is one of the common applications of Python programming. With the help of these libraries and functions, it becomes easy for python to finds its place in the scientific community.
Some Python Libraries and Functions:
SciPy: Library with a collection of packages for mathematics, science, and engineering.
NumPy: Helps us deal with complex numerical calculations.
Pandas: data-analysis and modeling library
Ipython: platform used for easily editing and recording of work sessions which supports visualizations and parallel computing.
Software Carpentry Course: It provides open-access teaching materials. It also teaches you basic skills for scientific computations.
4. Software Development
In Software development, Python works as a support language. Developers use it for testing and other purposes:
Scons: helps for build-control
Buildbot, Apache Gump: used for testing and automated, continuous compilation
Roundup, Trac: used for the project management as well as for bug-tracking.
5. Education
Python is a simple language to learn with easy syntax and has a large community. Because of these features python becomes a great introductory language. In the education sector, the application of python programming language has a huge scope as it is a basic and easy language to teach in schools or even we can learn it by own.
6. Business
To develop ERP and e-commerce systems, Python is the best choice:
Tryton: It is a high-level general-purpose application platform.
Odoo: This is a management software with a multiple ranges of business applications. It forms a complete suite of enterprise-management applications in-effect with help of Python.
7. Database Access
With Python, you will have:
Custom and ODBC interfaces to MySQL, Oracle, PostgreSQL, MS SQL Server: which are freely available for download.
Durus and ZODB : These are for object databases.
8. Network Programming
Python also helps in network programming. It provides support for lower-level network programming:
Twisted Python is a framework useful for asynchronous network programming.
9. Games and 3D Graphics
PyGame and PyKyra are two frameworks in Python for game development. Apart from this, python also has a variety of 3D graphics libraries.
10. Machine Learning and Artificial Intelligence
Nowadays, everyone including the IT industry is moving towards Artificial Intelligence. People are also interested to adopt these new technologies as it has many applications in almost every area and these technologies make human work more easy and automated. also, machine learning and AI help process and analyze huge volumes of data.
As per the reports, Python is the most popular language for Artificial intelligence and Machine Learning.
These are some libraries and frameworks in python for Artificial intelligence and machine Learning.
Tensorflow
Scikit-learn
NLTK
Caffee
PyTorch
Keras
Pandas
Accord.NET
11. Prototyping
Python programming is very easy with simple syntax and a bunch of libraries with community support if we compare it with other programming languages. It also offers the best solutions for the implementation of all types of functionalities. This is the main reason Python can be applied in prototyping stages when it comes to software development.
12. Audio/Video Applications
Python also helps in creating audio/video applications. An ideal example of this is the Spotify app which has built using Python programming language. PyDub, OpenCV is some python libraries that support building audio/video streaming applications with high-level functionality.
13. Application Development
Python is the best choice for the development of web applications. Python can be well integrated with other programming languages and also has some amazing frameworks that enhance the app development cycle.
Now we have seen Python is everywhere and we have seen its Applications areas in this article. we have learned that the applications of Python help us develop web apps without many efforts. We have also seen the application of Python in education and many other businesses.
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