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

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License: GPLv3

Author: Black Logic Co.,Ltd.

Tags Visual, visual, VisualPython, visualpython, visual python, Visual Python, blackpen, BlackPen

Requires: Python >=3.6

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Project description

![Visual Python](https://i.esdrop.com/d/7o0dj05m8rnz/JNGCMedl18.png)

[![PyPI version shields.io](https://img.shields.io/pypi/v/visualpython)](https://pypi.python.org/pypi/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) [![Code of Conduct: Contributor Covenant](https://img.shields.io/badge/Code%20of%20Conduct-Contributor%20Covenant-pink)](https://github.com/visualpython/visualpython/blob/main/CODE_OF_CONDUCT.md) [![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)

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

<br>

Try Visual Python if you would like to: <br> * manage big data with minimal coding skills. <br> * help students / business analysts / researchers to overcome learning barriers for Python. <br> * save & reuse repeatedly used codes(snippets). <br>

<br> <img src=”https://i.esdrop.com/d/7o0dj05m8rnz/Vo69p6HOwb.gif” width=”85%”>

## Getting Started

### 1. Requirements

Visual Python is a Jupyter Notebook extension. <br> 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’ <br>

  • Mac : Open Launchpad > Select ‘Terminal’

2) Install package from ` pip install visualpython `

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] <br> * Optional arguments:

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

## Contributing If you are interested in contributing to the Visual Python, please see [CONTRIBUTING.md](CONTRIBUTING.md). <br> All skills from programmers, non-programmers, designers are welcomed.

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

## Mission & Vision Mission <br> To support technology and education so that anyone can leverage big data analytics to create a variety of social values.

Vision <br> To create an environment where everyone can learn and use big data analytics skills easily.

## Support Visual Python Love Visual Python? <br> Your support will help us continue to actively develop and improve Visual Python.☕

<a href=”https://www.buymeacoffee.com/visualpython” target=”_blank”><img src=”https://img.buymeacoffee.com/button-api/?text=Buy me a coffee&emoji=&slug=visualpython&button_colour=ffa238&font_colour=000000&font_family=Comic&outline_colour=000000&coffee_colour=FFDD00”></a>

Project details

Verified details

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Avatar for BlackLogic.DEV from gravatar.com BlackLogic.DEV

Unverified details

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Meta

License: GPLv3

Author: Black Logic Co.,Ltd.

Tags Visual, visual, VisualPython, visualpython, visual python, Visual Python, blackpen, BlackPen

Requires: Python >=3.6


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