Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.

1. Key Features

• Automatically generates Python code based on a graphic user interface
  
• Creates code blocks by tasks (such as data processing, visualization)
  
• You can save the analysis process and share it (as .vp file) with others
  

2. Who and What is it for?
   Visual Python is a data analytics solution for both Programmers & Non-programmers.
   

Programmers can use the tool :

• to save & reuse user-defined (or repeatedly used) code
  
• to find Python packages and functions from the list
  

Non-programmers will be able to :

• learn the Python language more easily
  
• manage big data with minimal coding skills
  

Visual Python is developed as an extension on Jupyter Notebook.
We recommend installing Anaconda (virtual environment).

• Python version 3.x
• Jupyter notebook or Anaconda env
  

1) Open Anaconda prompt

• Windows : Click Start > Search or Select 'Anaconda Prompt'
  
• Mac : Open Launchpad > Select 'Terminal'

2) Install package from

pip install visualpython

Depending on your virtual environment settings, you may need to install Jupyter Extensions.
To install Jupyter Extension, use commands either:

pip install jupyter_contrib_nbextensions

or

conda install -c conda-forge jupyter_contrib_nbextensions

3) Enable the package

visualpy install

4) Activate Visual Python on Jupyter Notebook

Click orange square button on the right side of the Jupyter Notebook menu.

• Usage: visualpy [option]
  
• Optional arguments:

help       - show help menu
uninstall  - uninstall packages
upgrade    - version upgrade
version    - version check

Mission
To support technology and education so that anyone can leverage big data analytics to create a variety of social values.

Vision
To create an environment where you can learn and use big data analytics skills easily.

GNU GPLv3 (See LICENSE file).