[![PyPI version shields.io](https://img.shields.io/pypi/v/jupyterlab-visualpython)](https://pypi.python.org/pypi/jupyterlab-visualpython/) ![Python: 3.x](https://img.shields.io/badge/Python-3.x-yellowgreen) [![License: GPLv3](https://img.shields.io/badge/License-GPLv3-brightgreen)](https://github.com/visualpython/visualpython/blob/main/LICENSE) [![Downloads](https://static.pepy.tech/personalized-badge/visualpython?period=total&units=international_system&left_color=grey&right_color=orange&left_text=Downloads)](https://pepy.tech/project/visualpython) [![Issues: ](https://img.shields.io/github/issues/visualpython/visualpython?color=%23FF6347)](https://github.com/visualpython/visualpython/issues) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/visualpython/visualpython-binder/HEAD?labpath=index.ipynb) ## Introduction Visual Python is a GUI-based Python code generator, developed on the **Jupyter Lab**, **Jupyter Notebook** and **Google Colab** 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).

## Getting Started with Jupyter Lab ### 1. Requirements Visual Python is an extension to Jupyter Lab, so you must have Jupyter Lab installed already.
- Python version 3.x - Jupyter lab environment ### 2. How to Install **1) Install package from** ``` pip install jupyterlab-visualpython ``` **2) Activate Visual Python on Jupyter Lab** Click orange square button on the right side of the Jupyter Lab. ## Getting Started with Jupyter Notebook ### 1. Requirements Visual Python is an extension to Jupyter Notebook, so you must have Jupyter Notebook installed already.
- Python version 3.x - Jupyter notebook environment ### 2. How to Install **1) Install package from** ``` pip install visualpython ``` **2) Enable the package** ``` visualpy install ``` **3) Activate Visual Python on Jupyter Notebook** Click orange square button on the right side of the Jupyter Notebook menu bar. ### 3. Package Control Info * Usage: visualpy **[option]**
* Optional arguments: ``` help - show help menu install - install packages uninstall - uninstall packages upgrade - version upgrade version - version check ``` ## Getting Started with Google Colab ### 1. Requirements Visual Python is an extension to Google Colab, so you must have Google Colab opened.
- Google Colab ### 2. How to Install **1) Install package using Chrome Web Store** - [Link to Visual Python for Colab](https://chrome.google.com/webstore/detail/visual-python-for-colab/ccmkpknjfagaldcgidgcipbpdipfopob) **2) Open Google Colab** - [Link to Google Colab](https://colab.research.google.com/) **3) Activate Visual Python on Google Colab** ## Contributing If you are interested in contributing to the Visual Python, please see [`CONTRIBUTING.md`](CONTRIBUTING.md).
All skills from programmers, non-programmers, designers are welcomed. * Programming Guide: [Developer Documentation](https://bird-energy-733.notion.site/visualpython-docs-85c0274ff7564747bb8e8d77909fc8b7) * GUI Design Guide: [Visual Python GUI Kit 1.0](https://www.figma.com/community/file/976035035360380841) ## License GNU GPLv3 with Visual Python special exception (See LICENSE file). ## Mission & Vision **Mission**
To support technology and education so that anyone can leverage big data analytical skills to create a variety of social values. **Vision**
To create an environment where everyone can learn and use big data analytical skills easily. ## Support Visual Python Love Visual Python?
Your support will help us continue to actively develop and improve Visual Python.☕