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CONTRIBUTING.md

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# Contributing to the Visual Python
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Dear contributors, thanks for your interest in Visual Python. <br>
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We welcome all skills from:
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* [Programmers](#Programmers)
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* [Non-programmers](#Non-programmers)
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* [Designers](#Designers) <br>
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and your contribution would be greatly appreciated ! <br><br>
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## Programmers
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### Responding to an issue
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1. Find an issue you would like to work on.
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2. Follow the process from [GitHub Guides: Forking Projects](https://guides.github.com/activities/forking/)
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NOTE : Any submissions are understood to be under the same GPLv3 License that covers the project.
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* GUI Kit available as a Figma library: [Visual Python GUI Kit 1.0](https://www.figma.com/community/file/976035035360380841).
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### Creating an issue
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1. Go to [Issues], click [New Issue].
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2. Select the issue template: [Bug Report](https://github.com/visualpython/visualpython/issues/new?assignees=&labels=bug&template=bug_report.md&title=%5BBUG%5D+) / [Feature Request](https://github.com/visualpython/visualpython/issues/new?assignees=&labels=enhancement&template=feature_request.md&title=) / [Blank](https://github.com/visualpython/visualpython/issues/new)
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3. Write a clear and concise description.
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4. Submit a new issue.
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NOTE : If you are reporting a bug, please include steps to reproduce the problem. <br>
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## Non-programmers
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### Creating & Sharing VP Notes
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1. Create a data analysis task note using Visual Python.
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2. Save the note as a (.vp) format.
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3. Share your work and knowledge on [Visual Python Hub](https://www.visualpython.ai/vpnote).
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NOTE : Your work can be of great help for someone who struggles to find a solution.
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### Contributing to Documentation
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* Help with reviewing and editing official project documentation.
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### Helping raise a better awareness of Visual Python
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* Create educational material using Visual Python.
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* Create content like videos, blogs that you can share your experience and ideas about Visual Python.
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## Designers
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### Responding to a design-related issue
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1. Find a design-related issue you would like to work on.
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2. Follow the process from [GitHub Guides: Forking Projects](https://guides.github.com/activities/forking/)
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### Improving UI Kit
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1. Take a look at the latest version on Figma: [Visual Python GUI Kit 1.0](https://www.figma.com/community/file/976035035360380841).
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2. Duplicate the file to add a copy to your folder.
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3. Make changes on the copy and publish the file to Figma Community as a remix version.
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NOTE : Recommend reading [Figma: Publish Community files](https://help.figma.com/hc/en-us/articles/360040035974-Publish-Community-files) before starting the work for better understanding of the system.
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<br>
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README.md

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<!--
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#========================================================================
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# Filename : README.md
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# Function : control visualpython for Window/Linux/Mac
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# Creator : Black Logic
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# Version : 1.1.1
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# License : GPLv3
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# Date : 2020 07.27
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# Mdate : 2021 05.07
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#========================================================================
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-->
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# Visual Python
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[![PyPI version shields.io](https://img.shields.io/pypi/v/visualpython)](https://pypi.python.org/pypi/visualpython/)
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[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-green)](https://www.gnu.org/licenses/gpl-3.0.html)
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[![Website: VP Hub](https://img.shields.io/badge/Website-VP%20Hub-orange)](https://www.visualpython.ai)
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<br>
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[![Code of Conduct: Contributor Covenant](https://img.shields.io/badge/Code%20of%20Conduct-Contributor%20Covenant-blueviolet)](https://github.com/visualpython/visualpython/blob/main/CODE_OF_CONDUCT.md)
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## Introduction
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Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
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<br>
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<img src="https://i.esdrop.com/d/7o0dj05m8rnz/sgKUVlLpRx.png" width="85%">
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1. Key Features
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* Automatically generates Python code based on a graphic user interface <br>
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* learn the Python language more easily <br>
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* manage big data with minimal coding skills <br>
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<br>
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## Getting Started
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upgrade - version upgrade
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version - version check
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```
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<br>
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## Mission & Vision
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## Mission & Vision
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**Mission** <br>
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To support technology and education so that anyone can leverage big data analytics to create a variety of social values.
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**Vision** <br>
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To create an environment where you can learn and use big data analytics skills easily.
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To create an environment where everyone can learn and use big data analytics skills easily.
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<br>
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## Contributing
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If you are interested in contributing to the Visual Python, please see [`CONTRIBUTING.md`](CONTRIBUTING.md). <br>
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All skills from programmers, non-programmers, designers are welcomed.
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## License
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GNU GPLv3 (See LICENSE file).

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