Welcome to the Visual Python

Introduction

Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook as an extension.
Visual Python is an open source project started for students who struggle with coding during a Python class for data science.

Try Visual Python if you would like:

• to manage big data with minimal coding skills.
  
• to help students / business analysts / researchers to overcome learning barriers for Python.
  
• to save & reuse repeatedly used codes(snippets).
  

Getting Started

1. Requirements

Visual Python is a Jupyter Notebook extension.
We recommend installing Anaconda (virtual environment).

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

2. How to Install

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.

3. Package Control Info

• Usage: visualpy [option]
  
• Optional arguments:

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

Mission & Vision

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 everyone can learn and use big data analytics skills easily.

Contributing

If you are interested in contributing to the Visual Python, please see CONTRIBUTING.md.
All skills from programmers, non-programmers, designers are welcomed.

License

GNU GPLv3 (See LICENSE file).