Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
- 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
- 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 everyone can learn and use big data analytics skills easily.
If you are interested in contributing to the Visual Python, please see CONTRIBUTING.md.
All skills from programmers, non-programmers, designers are welcomed.
GNU GPLv3 (See LICENSE file).