1) WEB DEVELOPMENT:
We can use Python to develop web applications. It provides libraries to handle internet protocols such as HTML and XML, JSON, Email processing, etc. Python provides many useful frameworks, and these are given below:
1. Django and Pyramid Framework
2. Flask and bottle
3.Plone and Django cms
 |
| PYTHON INTRODUCTION |
2) DESKTOP GUI APPLICATION:
The GUI stands for Graphical User Interface, which provides a smooth interaction to any application. Python provides a Tk GUI library to develop a user interface. Some popular GUI libraries are given below:
1. TKINTER OR tk
2.wxWidgetM
3. kivy
4.PyQt or Pysite
3) CONSOLE-BASED APPLICATION:
Console-based applications run from the command line or shell. These applications are computer programs that use commands to execute. This kind of application was more popular in the old generation of computers. Python can develop this kind of application very effectively. It is famous for having REPL, which means the Read-Eval-Print Loop makes it the most suitable language for command-line applications.
Python provides many free library or module which helps to build command-line apps. The necessary IO libraries are used to read and write. It helps to parse arguments and create console help text out-of-the-box. There are also advanced libraries that can develop independent console apps.
4)SOFTWARE DEVELOPMENT: -
Python is useful for the software development process. It works as a support language and can be used to build control and management, testing, etc.
1.SCons is used to build control.
2. Buildbot and Apache Gumps are used for automated continuous compilation and testing.
3. Round or Trac for bug tracking and project management.
5)SCIENTIFIC AND NUMERIC:
This is the era of Artificial intelligence where the machine can perform the task the same as the human. Python language is the most suitable language for Artificial intelligence or machine learning. It consists of many scientific and mathematical libraries, which makes it easy to solve complex calculations.
Implementing machine learning 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 basic knowledge of Python, you need to import libraries at the top of the code. A few popular frameworks of machine libraries are given below.
1.SciPy
2. Scikit-learn
3.NumPy
4. Pandas
5. Matplotlib
6)BUSINESS APPLICATION:
Business Applications differ from standard applications. E-commerce and ERP are an example of business applications. This kind of application requires extensive, scalability and readability, and Python provides all these features.
7)AUDIO AND VIDEO-BASED APPLICATION:
Python is flexible to perform multiple tasks and can be used to create multimedia applications. Some multimedia applications which are made by using Python are TimPlayer, cplay, etc. The few multimedia libraries are given below.
1. Gstreamer
2. Pyglet
3. QT Phonon
8)3D CAD BASED-APPLICATION:
CAD (Computer-aided design) or AUTO CAD is used to design engineering-related architecture. It is used to develop the 3D representation of a part of a system. Python can create a 3D CAD application by using the following functionalities.
1.Fandango (Popular )
2. CAMVOX
3.HeeksCNC
4.AnyCAD
5. RCAM
9)IMAGE PROCESSING APPLICATION:
Python contains many libraries that are used to work with the image. The image can be manipulated according to our requirements. Some libraries of image processing are given below.
1.OpenCV
2. Pillow
3.SimpleITK
0 Comments