Python Tutorial

Introduction Python Features Python Applications Python System requirements Python Installation Python Examples Python Basics Python Indentation Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Python Recursion Anonymous/Lambda Function in Python apply() function in python Python lambda() Function

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Python Super function Python Static Method Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python Python Yield vs Return

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Math Module Python Import Module Python Time ModulePython Random Module Python Calendar Module CSV Module in Python Python Subprocess Module

Python MySQL

Python MySQL Python MySQL Client Update Operation Delete Operation Database Connection Creating new Database using Python MySQL Creating Tables Performing Transactions

Python MongoDB

Python MongoDB

Python SQLite

Python SQLite

Python Data Structure Implementation

Python Stack Python Queue Python Linked List Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Linear regression Python Rest API Python Command Line Arguments Python JSON Python Subprocess Python Virtual Environment Type Casting in Python Python Collections Python Attributes Python Commands Python Data Visualization Python Debugger Python DefaultDict Python Enumerate

Python 2

What is Python 2

Python 3

Anaconda in Python 3 Anaconda python 3 installation for windows 10 List Comprehension in Python3

How to

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Python Sort List Sort Dictionary in Python Python sort() function Python Bubble Sort


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Applications of Python

Top 10 Applications of Python in 2020- 2021

Python language is famous for its general-purpose nature, which enables developers to use it in every field of development. Python can be found in every emerging field in terms of technologies. 

Top 10 Applications of Python in 2020- 2021

Python is the fastest-growing programming language all over the world, and we can use it with many kinds of applications.

In this section, we will specify the applications of Python, where it can be applied in the technology world.

Below is the list of applications where Python can be applied:

1. Console-based Applications

2. Business Applications

3. Web Applications

4. Enterprise Applications

5. Software development Applications

6. Desktop GUI Applications

7. 3D CAD Applications

8. Scientific and Numeric Applications

9. Image Processing Applications

10. Audio or Video-based Applications

Let's understand all of these applications of Python programming language one by one in brief details:

1. Console-based application:

The console-based applications are the applications that run from the command shell or command-line. The console-based applications are the programs that are based on a computer command-line and use commands to execute and these are very popular among the old generation of computers.

  • Python is very useful in developing such console-based applications efficiently and effectively.
  • Python is very famous for having the Read-Eval-Print-Loop, which is knowns as REPL.
  • The REPL feature of Python makes it the most suitable programming language for developing command-line applications.
  • Python contains many types of modules or free libraries, which helps developers for working on the command line applications.
  • The necessary input-output libraries in Python are used to read and write the data in the command line applications.
  • Python has many advanced libraries which also enables developers to develop independent console applications.
  • Python is also useful in parsing the argument and creating a console help text.

2. Business Application:

The Business applications are very different from the other standard applications like games, console-based applications etc. EPR and E-commerce platforms are the standard examples for business applications.

  • The business applications require a high level of scalability, extensively and readability to work.
  • Python fulfills all the requirements of a business application with its rich features.
  • Python has scalability and readability, which is very useful in the development of business applications.
  • Python provides a very unique and useful Tryton platform that is used for developing many kinds of business applications.

Example: - Oddo is one of the examples of a Python programming language-based application. Oddo offers a different range of business applications.

3. Web Application:

After knowing that Python is capable of developing many types of web applications, we can understand how powerful Python is. Nowadays, Python is very popular among the web developers.

  • Python provides many libraries that are used to handle internet protocols such as XML, email processing, HTML, beautifulSoup, JSON, request, Feedparser etc.
  • Python provides many frameworks that are used to build vast categories of web applications.
  • The list of frameworks provided by Python to develop the web application are given below:
  • Pyramid and Django frameworks: These frameworks of Python are used to build heavy web applications.
  • Bottle and flask framework: These frameworks provided by Python are used to build microframeworks for many web applications.
  • Django CMS and Plone framework: These frameworks are used to develop and work on advanced content management.
  • The web-framework 'Django' provided by Python is used on one of the most popular social media networks, i.e., Instagram.

4. Enterprise Applications

Enterprise applications are the solutions provided in the form of software technology, which provides business logic and many different tools to draw the model of the entire business process. Enterprise applications are used for improving the productivity and efficiency of the organization.

  • Customer relationship management system and billing system are the best examples of enterprise applications.
  • Python can be used to create enterprise applications.
  • Some real-time enterprise application developed with Python language are:
  • Picanto
  • OpenERP
  • Tryton etc.
  • Python can provide libraries through which we can create an application that is used in customer management relationships or supplier management relationships system and very helpful for an enterprise.

5. Software Development Applications

Python can work as a supportive language in software development. It can be used to build the testing, control and management tools in the process of software development.

  • The core purpose of Python is to develop software. It is very useful for software development processes.
  • Below is the list of some of the important frameworks of Python that are used in the software development process:
  • Scions: Scion framework of Python is used to build controls.
  • Buildbot and Apache: These are used for automated testing and compilation while developing software.
  • Trac or Round: These frameworks provided by Python are used for project management and bug tracking in software development.

6. Desktop GUI Applications

GUI or Graphical User Interface is very helpful in providing a smooth graphic experience to the users. GUI in any application is used to make the user experience very robust and interactive. GUI interacts with the user of the application in the form of visual indicator representations instead of a text-based interaction.

  • Python Tk GUI library is a library provided by python language to develop an interactive User Interface for the application.
  • Below is the list of some popular GUI libraries provided by Python to develop an interactive User Interface:
  • Kivy: Kivy library is provided by Python, and it is used for writing the multi touch application.
  • Tk or Tkinter
  • PyQt or Pyside
  • wxWidgetM

7. 3D CAD Applications

3D CAD means three-dimensional (3-D) Computer-aided Design. 3D CAD is an application that is used for technical documentation and designs. It has replaced manual drafting with its automation process. It is used for designing the architectural modules related to engineering. We use a 3D CAD application to represent part of a system in three-dimensional mode.

  • Python has many libraries that are used to create 3D formations and structures.
  • We can create 3D CAD applications using the framework and libraries provided by Python.
  • Python frameworks provide many functionalities while developing a 3D CAD application using Python.
  • We can create a 3D CAD application using Python with the following functionalities:
  • HeeksCNC
  • RCAM
  • Fandango (Most Popular)
  • AnyCAD
  • CamVoX

8. Scientific and Numeric Applications

Today is the era of Artificial intelligence (AI), where the machines with the help of technology are able to perform tasks that humans can do.

Data science is a new trend in the modern world. In today's technology world, machines are able to perform tasks the same as a human. Machines are also able to learn using the algorithms and their experiences.

  • Python is considered the most suitable language for Machine Learning (ML) or Artificial intelligence (AI).
  • Python language consists of many mathematical, scientific and statistical libraries.
  • These libraries enable Python to solve many complex calculations very easily.
  • When we want to implement algorithms related to machine learning, it becomes very complex sometimes because it requires very high and complex mathematical and scientific calculations.
  • Python consists of many scientific and numeric libraries such as SciPy, Numpy, Scikit-learn, Pandas etc.
  • If we have some prior knowledge of Python, we can import these Python libraries on top of our code.
  • Below is the list of some very popular frameworks and libraries used in Artificial intelligence (AI) or machine learning (ML):
  • Pandas
  • SciPy
  • Numpy
  • Matplotlib
  • Scikit-learn etc.

9. Image Processing Applications

In today's world, we can see the live effect put on by digital image processing. Digital image processing is growing extensively in many fields with the time. Image processing is basically manipulating the image to get the desired outputs. Or we can say that, we perform some operation on a given image to get the desired output from the image.

  • Python contains many libraries through which we can work with the images.
  • Python libraries have much functionality which is very helpful while working with the image.
  • We can manipulate the image with the Python libraries to get the output that is required.
  • Application related to digital image processing can be developed with these Python libraries.
  • Below is the list of some Python frameworks which are used to develop the image processing application:
  • SimplelTK
  • OpenCV
  • Pillow

10. Audio or Video-based applications

There are many applications which are work on the audio and video-based applications. Some of these applications are even based on speech recognition features. These audio and Video-based applications are very popular nowadays.

  • Python is very useful in creating multimedia applications.
  • Python is also very flexible in performing multiple tasks at once.
  • There are many multimedia applications that are developed using the Python framework.
  • Some of the multimedia applications are cplay, Timplayer etc., which are developed using the python framework.
  • Below is the list of multimedia libraries present in Python through which we can build audio or video-based applications:
  • QT Phonon
  • Pyglet
  • Gstreamer etc.

So, in this section, we have studied all types of applications that can be developed using the Python framework and libraries. As we have seen Python plays a very important and crucial role in the development of all these applications. Python has a very vital role in the functionalities and development of these applications.