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Add symbolic link to visualpython source folder and add some build files to jupyternotebook
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‎colab/visualpython

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../visualpython/

‎jupyterlab/lib/visualpython

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../../visualpython/

‎jupyternotebook/LICENSE

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‎jupyternotebook/README.md

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<img src="https://i.esdrop.com/d/7o0dj05m8rnz/JNGCMedl18.png" width="45%">
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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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![Python: 3.x](https://img.shields.io/badge/Python-3.x-yellowgreen)
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[![License: GPLv3](https://img.shields.io/badge/License-GPLv3-brightgreen)](https://github.com/visualpython/visualpython/blob/main/LICENSE)
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[![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)
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[![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)
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[![Issues: ](https://img.shields.io/github/issues/visualpython/visualpython?color=%23FF6347)](https://github.com/visualpython/visualpython/issues)
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## Introduction
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Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook as an extension. <br>
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Visual Python is an open source project started for students who struggle with coding during Python classes for data science.
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<br>
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Try Visual Python if you would like to: <br>
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* manage big data with minimal coding skills. <br>
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* help students / business analysts / researchers to overcome learning barriers for Python. <br>
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* save & reuse repeatedly used codes(snippets). <br>
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<br>
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<img src="https://github.com/visualpython/visualpython/blob/main/img/Visual%20Python_2.2.8.gif?raw=true" width="95%">
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## Getting Started
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### 1. Requirements
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Visual Python is an extension to Jupyter Notebook, so you must have Jupyter Notebook installed already.<br>
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- Python version 3.x
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- Jupyter notebook environment
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### 2. How to Install
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**1) Install package from**
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```
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pip install visualpython
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```
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**2) Enable the package**
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```
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visualpy install
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```
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**3) Activate Visual Python on Jupyter Notebook**
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Click orange square button on the right side of the Jupyter Notebook menu bar.
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### 3. Package Control Info
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* Usage: visualpy **[option]** <br>
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* Optional arguments:
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```
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help - show help menu
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install - install packages
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uninstall - uninstall packages
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upgrade - version upgrade
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version - version check
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```
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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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* Programming Guide: [Developer Documentation](https://bird-energy-733.notion.site/visualpython-docs-85c0274ff7564747bb8e8d77909fc8b7)
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* GUI Design Guide: [Visual Python GUI Kit 1.0](https://www.figma.com/community/file/976035035360380841)
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## License
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GNU GPLv3 with Visual Python special exception (See LICENSE file).
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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 analytical skills to create a variety of social values.
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**Vision** <br>
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To create an environment where everyone can learn and use big data analytical skills easily.
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## Support Visual Python
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Love Visual Python? <br>
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Your support will help us continue to actively develop and improve Visual Python.☕
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<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>

‎jupyternotebook/requirements.txt

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attrs==19.3.0
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backcall==0.1.0
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beautifulsoup4==4.9.1
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bleach==3.1.5
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bs4==0.0.1
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certifi==2020.4.5.2
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chardet==3.0.4
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cycler==0.10.0
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decorator==4.4.2
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defusedxml==0.6.0
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entrypoints==0.3
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idna==2.9
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importlib-metadata==1.6.1
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ipykernel==5.3.0
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ipython==7.15.0
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ipython-genutils==0.2.0
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jedi==0.17.0
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Jinja2==2.11.2
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joblib==0.15.1
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jsonschema==3.2.0
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jupyter-client==6.1.3
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jupyter-contrib-core==0.3.3
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jupyter-contrib-nbextensions==0.5.1
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jupyter-core==4.6.3
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jupyter-highlight-selected-word==0.2.0
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jupyter-latex-envs==1.4.6
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jupyter-nbextensions-configurator==0.4.1
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kiwisolver==1.2.0
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lesscpy==0.14.0
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lxml==4.5.1
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MarkupSafe==1.1.1
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matplotlib==3.2.1
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mistune==0.8.4
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nbconvert==5.6.1
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nbformat==5.0.6
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notebook==6.0.3
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numpy==1.18.5
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packaging==20.4
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pandas==1.0.4
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pandocfilters==1.4.2
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parso==0.7.0
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pexpect==4.8.0
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pickleshare==0.7.5
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ply==3.11
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prometheus-client==0.8.0
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prompt-toolkit==3.0.5
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ptyprocess==0.6.0
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Pygments==2.6.1
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pyparsing==2.4.7
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pyrsistent==0.16.0
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python-dateutil==2.8.1
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pytz==2020.1
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PyYAML==5.3.1
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pyzmq==19.0.1
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requests==2.23.0
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scikit-learn==0.23.1
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scipy==1.4.1
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seaborn==0.10.1
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Send2Trash==1.5.0
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six==1.15.0
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soupsieve==2.0.1
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terminado==0.8.3
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testpath==0.4.4
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threadpoolctl==2.1.0
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tornado==6.0.4
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traitlets==4.3.3
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urllib3==1.25.9
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wcwidth==0.2.3
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webencodings==0.5.1
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zipp==3.1.0

‎jupyternotebook/setup.cfg

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[metadata]
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description-file = README.md
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license_file = LICENSE

‎jupyternotebook/setup.py

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# coding: utf-8
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import os
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from setuptools import setup, find_packages
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from pathlib import Path
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this_directory = Path(__file__).parent
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long_description = (this_directory / "README.md").read_text()
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name = 'visualpython'
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setup(
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name = name,
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version = '2.2.12',
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packages = find_packages(),
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package_data = {"": ["*"], 'visualpython' : ['visualpython.yaml', 'README.md']},
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scripts = ['visualpython/bin/visualpy', 'visualpython/bin/visualpy.bat'],
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description = 'Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook as an extension.',
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long_description_content_type = 'text/markdown',
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long_description = long_description,
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author = 'Black Logic Co.,Ltd.',
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author_email = 'blacklogic.dev@gmail.com',
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url = 'http://visualpython.ai',
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license = 'GPLv3',
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install_requires = [],
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platforms = "Linux, Mac OS X, Windows",
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keywords = ['Visual', 'visual', 'VisualPython', 'visualpython', 'visual python', 'Visual Python', 'blackpen', 'BlackPen'],
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python_requires = '>=3.6',
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)

‎jupyternotebook/visualpython

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../visualpython/

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