Learn Python – Python Applications- Basic and advance

Python is recognized for its general-purpose nature that makes it relevant in almost every domain of software program development. Python makes its presence in each and every emerging field. It is the fastest-growing programming language and can develop any application.

Here, we are specifying utility areas the place Python can be applied.

  1. Web Applications

We can use Python to enhance web applications. It provides libraries to take care of net protocols such as HTML and XML, JSON, Email processing, request, beautifulSoup, Feedparser, etc. One of Python web-framework named Django is used on Instagram. Python provides many beneficial frameworks, and these are given below:

Django and Pyramid framework(Use for heavy applications)

Flask and Bottle (Micro-framework)

Plone and Django CMS (Advance Content management)

2) Desktop GUI Applications

The GUI stands for the Graphical User Interface, which provides a smooth interplay to any application. Python affords a Tk GUI library to enhance a consumer interface. Some popular GUI libraries are given below.

Tkinter or Tk

wxWidgetM

Kivy (used for writing multitouch applications )

PyQt or Pyside

3) Console-based Application

Console-based purposes run from the command-line or shell. These applications are laptop application which are used instructions to execute. This sort of utility used to be greater famous in the old technology of computers. Python can enhance this type of application very effectively. It is well-known for having REPL, which means the Read-Eval-Print Loop that makes it the most appropriate language for the command-line applications.

Python affords many free library or module which helps to build the command-line apps. The critical IO libraries are used to read and write. It helps to parse argument and create console help textual content out-of-the-box. There are additionally strengthen libraries that can enhance unbiased console apps.

4) Software Development

Python is beneficial for the software improvement process. It works as a assist language and can be used to build manage and management, testing, etc.

SCons is used to build control.

Buildbot and Apache Gumps are used for automated continuous compilation and testing.

Round or Trac for bug tracking and project management.

5) Scientific and Numeric

This is the technology of Artificial Genius the place the machine can operate the assignment the identical as the human. Python language is the most suitable language for Artificial talent or computing device learning. It consists of many scientific and mathematical libraries, which makes handy to resolve complex calculations.

Implementing machine gaining knowledge of algorithms require complex mathematical calculation. Python has many libraries for scientific and numeric such as Numpy, Pandas, Scipy, Scikit-learn, etc. If you have some simple understanding of Python, you want to import libraries on the pinnacle of the code. Few famous frameworks of laptop libraries are given below.

SciPy

Scikit-learn

NumPy

Pandas

Matplotlib

6) Business Applications

Business Applications fluctuate from fashionable applications. E-commerce and ERP are an example of a enterprise application. This form of application requires extensively, scalability and readability, and Python provides all these features.

Oddo is an example of the all-in-one Python-based utility which offers a vary of commercial enterprise applications. Python gives a Tryton platform which is used to advance the business application.

7) Audio or Video-based Applications

Python is flexible to perform multiple tasks and can be used to create multimedia applications. Some multimedia applications which are made through using Python are TimPlayer, cplay, etc. The few multimedia libraries are given below.

Gstreamer

Pyglet

QT Phonon

8) 3D CAD Applications

The CAD (Computer-aided design) is used to diagram engineering related architecture. It is used to enhance the 3D illustration of a part of a system. Python can create a 3D CAD application through the use of the following functionalities.

Fandango (Popular )

CAMVOX

HeeksCNC

AnyCAD

RCAM

9) Enterprise Applications

Python can be used to create purposes that can be used within an Enterprise or an Organization. Some real-time functions are OpenERP, Tryton, Picalo, etc.

10) Image Processing Application

Python contains many libraries that are used to work with the image. The picture can be manipulated according to our requirements. Some libraries of picture processing are given below.

OpenCV

Pillow

SimpleITK

In this topic, we have described all sorts of purposes where Python plays an fundamental position in the development of these applications. In the next tutorial, we will examine more standards about Python.

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