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CSE

Uploaded on

05 Jan 2023

Most Common Applications of Python Programming

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Skill-Lync

Most Common Applications of Python Programming

Python is renowned for being versatile and used in virtually every area of software development. Python is present in every field that is just starting. It can create any application and is the programming language with the quickest growth.

Here, we outline the various Python applications in the present scenario.

What Are the Principal Features and Applications of Python?

Some Python features include the following:

  • Simple to Code

Despite being a relatively advanced programming language, Python is simple to learn. Anyone can learn to code with Python in a short period. 

Compared to other well-known languages like C, C++, and Java, understanding the fundamentals of Python syntax is quite simple.

  • Simplified Expression 

Simple English words appear in Python code that is simple to read. Instead of delimiters or brackets, the indentations serve as the definition of the code block. By glancing at the code, you can determine what it is designed to perform.

  • Free and Open Source

The OSI has approved the open-source license under which Python was developed. The free version can be used for commercial purposes as well as to complete client projects or develop algorithms for one’s own organisation. 

  • Dependable Standard Library

Anyone can utilise the vast standard library for Python. These include libraries for databases, unit testing, expressions, image manipulation, and many more features. This feature can save the time of a developer by importing codes for simpler algorithms. 

  • Portable

Python is portable because the same code can be used across multiple OS. Let's imagine you create Python scripts on a Mac. If you later plan to run it on Windows or Linux, you don't have to edit it. As a result, building software more than once for different platforms is not necessary.

  • Procedure and Entity Oriented

An object-oriented programming language bases its architecture on data and entities instead of functions and reasoning. Instead, if a programming language prioritises functions over other notions, it is procedure-oriented. The fact that Python supports both object-oriented and procedure-oriented programming is one of its key strengths.

Applications of Python Programming Across Multiple Sectors 

Here, we have listed some celebrated Python applications in the real world:

  • Web Application Development

Python can be used to create web apps. It offers libraries with various internet protocols, including HTML and XML, JSON, Email processing, requests, Feedparser, etc. 

Instagram uses the Django web framework, which is Python-based. The useful frameworks that Python offers are listed below:

  • The framework of Django and Pyramid (implemented for heavy applications)
  • Bottle and Flask (suitable for micro-framework)
  • Django and Plone CMS (for advanced content management)
  • Software Based Application

Building control and management, testing, etc., can be done using it as a support language.

Control is built using SCons. We employ Buildbot and Apache Gumps for autonomous continual compiling and testing. Finally, for project management and bug tracking, preferably software engineers use Round or Trac.

  • Graphical User Interface-Related Application

The Graphical User Interface, or GUI, gives every application a seamless user experience. A Tk GUI library for Python is available to create user interfaces. The list below includes a couple of well-known GUI libraries.

  • Kivy Tkinter or Tk wxWidget (used for writing multitouch applications )
  • Pyside or PyQt

The advantage of Python for IOT application development includes script elements distributed in a controlled manner by Tkinter GUI. It allows for functional testing and repetitive executions in the Internet of Things (IoT) devices. Therefore, the representation in data flow graphs dealing with deep learning elements is used in the numerical computations of machine learning introduced into the IoT systems.

  • CAD Applications

Engineering-related architecture is designed using computer-aided design (CAD). It is employed to create a 3D representation of a system component. 

The following Python functionalities can be used to build 3D CAD applications.

  • Fandango 
  • AnyCAD 
  • HeeksCNC 
  • RCAM 
  • CAMVOX
  • Image Processing Applications

Many libraries in Python can be used to manipulate the image. We can modify the image to fit our needs. The list below includes a few image-processing libraries.

  • OpenCV 
  • SimpleITK
  • Pillow
  • Numeric Application

In this age of artificial intelligence, a computer can do work just like a human. Python is the greatest platform for deep learning or automation. It has many scientific and mathematical libraries, making it simple to complete difficult computations.

Complex mathematical calculations are needed to implement machine learning algorithms. Numpy, Pandas, Scipy, Scikit-learn, and other scientific and numerical libraries are available in Python. If you know how to use Python, you must import libraries before writing any code.

  • Console-Oriented Application

Applications that operate on consoles are launched using a command line or shell. These programs are apps that run commands on computers. In the earlier computer generations, this type of application was more prevalent.

This application may be created extremely well with Python. It is renowned for having the Read-Eval-Print Loop, or REPL, which makes it the best language for command-line applications.

Python offers a variety of free libraries and modules that make it easier to create command-line programs. For reading and writing, the required IO libraries are utilised. The ability to automatically parse arguments and generate console help text is helpful. There are also sophisticated libraries that can create standalone console applications. To learn how to use Python for different applications and build exciting projects, explore Skill-Lync’s courses for Python.

Conclusion 

Many find it easier to start with Python for coding. As this high-level programming language uses common English words for commands (For example, Print, If, While, or, and), anyone can easily read and understand the flow of the program. Application of Python can even be found in mechanical sectors for automating pre and post-processors for CFD ad FEA applications. Python could also be used for embedded systems due to it is simplicity. Learning this one language will make you eligible for many lucrative roles.


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Anup KumarH S


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