Python Applications



Python is a high-level, interpreted, interactive, and object-oriented scripting language. It is the fastest-growing programming language and can develop any application.


 


1) Web Applications : 

We can use Python to develop web applications. These web frameworks are packed with standard libraries and modules which simplify tasks like content management, database interaction, and interfacing with internet protocols like HTTP, SMTP, XML, JSON, FTP, IMAP, and POP.

Python web frameworks are known for their security, scalability, and flexibility.

  • Requests – An HTTP client library
  • BeautifulSoup – An HTML parser
  • feed parser – For parsing RSS/Atom feeds
  • Paramiko – For implementing the SSH2 protocol
  • Twisted Python – For asynchronous network programming

Python provides many useful frameworks, and these are given below:

  • Django (Use for heavy applications)
  • Pyramid (Use for heavy applications)
  • Flask (Micro-framework)
  • Bottle (Micro-framework)
  • Plone and Django CMS (Advance Content management)


2) Scientific and Numeric Applications : 

Python’s simplicity and ability to handle operations with large numbers make it pretty useful in scientific calculations. If you have some basic knowledge of Python, you need to import libraries on the top of the code. There are many libraries available for Scientific and numeric calculations.

  • SciPy

  • Pandas

  • IPython

  • Numpy

  • Matplotlib

3)  Desktop GUI Applications

You can build desktop applications along with their GUI all in Python. It provides the Tkinter library that can be used to develop user interfaces. There are many GUI toolkits available for Desktop GUI Applications -

  • wxWidgets
  • Tkinter
  • Qt
  • Gtk+
  • FLTK
  • Kivy
  • OpenGL


4)  Software Development 

Software developers make use of Python as a support language for building control and management, testing, and automating the workflow.

  • SCons – build-control.
  • Buildbot and Apache Gump – automation and continuous compilation and testing.
  • Roundup or Trac – project management and bug-tracking.

5) Bussiness Applications

Python is a great choice to develop ERP and e-commerce systems This kind of application requires extensive, scalability and readability, and Python provides all these features. Larger applications can be easily customized using Python.

  • Youtube uses Python for some of its functionalities.
  • Tryton – A three-tier, high-level general-purpose application platform.
  • Odoo – It’s an all-rounder management software with a range of business applications.

6) Audio or Video-Based Applications

We use Python to develop applications that can multi-task and also output media. Some multimedia applications which are made by using Python are TimPlayer, play, etc. The few multimedia libraries are given below.

  • Gstreamer
  • Pyglet
  • QT Phonon

7) Data Science

Data science is one of the hottest fields where Python is involved deeply in the roots.

Data is money if you know how to extract relevant information which can help you take calculated risks and increase profits.

Python is used to process large amounts of data, clean the data, building machine learning models, and visualize data.

Some of the important libraries for data science are:

  • Numpy
  • Pandas
  • Scikit-learn
  • Tensorflow
  • Keras
  • Pythorch
  • Matplotlib

8) Games and 3D Graphics

This is an interesting part for everyone, making games are very exciting as you can create anything with your imagination.

Python has some amazing libraries, some of them are PyGame and PyOpenGL. You can build wonderful games with these libraries.

You can create 3D graphics with Python OpenGL and Blender 3d API.

If you love game development, then you should check out PyWeek which hosts interesting gaming contests.

9) Machine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence are the talks of the town as they yield the most promising careers for the future. People are keen to move to technologies where machines can mimic human behaviors, and machines are automating most of human work. There is also a need to process and analyze huge volumes of data. The programming language that mostly everyone chooses? It’s Python. Why? Support for these domains with the libraries that exist already such as Pandas, Scikit-Learn, NumPy and so many more.

Statistically speaking that Python is the most popular language for Artificial intelligence and Machine Learning.

The several libraries and frameworks for Artificial intelligence are listed below.

  • Tensorflow
  • Scikit-learn
  • NLTK
  • Caffee
  • PyTorch
  • Keras
  • Pandas
  • Accord.NET

10) Network Programming

Python is also used in making connections between client and serversocket programming, and network programming.

It supports lower-level network programming.

Twisted Python – Framework for asynchronous network programming.

Easy to use socket interface for socket programming.