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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 Python classes for data science.

Try Visual Python if you would like to:

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

Visual Python is a Jupyter Notebook extension.
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

NOTE : 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

NOTE : If you are using multiple versions of Python, specify the pip version as 3 like the following.

visualpy install --pip3

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 menuinstall    - install packagesuninstall  - uninstall packagesupgrade    - version upgradeversion    - version check

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

• Programming Guide:Developer Documentation
• GUI Design Guide:Visual Python GUI Kit 1.0

GNU GPLv3 with Visual Python special exception (See LICENSE file).

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.

Love Visual Python? Caffeine keeps us awake and do the work ☕THANK YOU for your support! 👍