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minjk-bl merged 2 commits intomainfromhotfixes
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166 changes: 66 additions & 100 deletionsREADME.md
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@@ -1,112 +1,78 @@
<!--
#========================================================================
# Filename : README.md
#Function : control visualpython forWindow/Linux/Mac
# Creator :Black Logic
#Version :1.1.0
#function : control visualpython forMac/Linux
# Creator :BlackLogic - LJ
#version :2.0
# License : GPLv3
# Date : 2020 07.27
# Mdate :2021 05.06
# Mdate :2020 12.24
#========================================================================
-->

# Visual Python
# 1. Install Package ( windows / Linux / Mac )
### 1.1. requirements
> - Python 3.x
> - jupyter notebook or anaconda env <br>
> _pip install jupyter_ <br>
> or <br>
> _python -m pip install --user jupyter_ <br>
>
> _pip3 install jupyter_ <br>
> or <br>
> _python3 -m pip install --user jupyter_ <br>

### 1.2. Install VisualPython package
> **[pip / conda]** <br>
> _pip install visualpython_

### 1.3. Optional package
* jupyter_contrib_nbextensions<br>
* Install to manage nbtextensions visually.
>> **[pip]**<br>
>> _pip install jupyter_contrib_nbextensions <br>_
_jupyter contrib nbextension install --user_ <br>
>> **[conda - anaconda env]** <br>
> _conda install -c conda-forge jupyter_contrib_nbextensions_ <br>
_jupyter contrib nbextension install --user_

# 2. Package controller for Linux/Mac/Windows
### 2.1. VisualPython contoller info

> **usage: _visualpy [option]_** <br>

[![PyPI version shields.io](https://img.shields.io/pypi/v/visualpython)](https://pypi.python.org/pypi/visualpython/)
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-green)](https://www.gnu.org/licenses/gpl-3.0.html)
[![Website: VP Hub](https://img.shields.io/badge/Website-VP%20Hub-orange)](https://www.visualpython.ai)


<br>

## Introduction
Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
<br>

1. Key Features
* Automatically generates Python code based on a graphic user interface <br>
* Creates code blocks by tasks (such as data processing, visualization) <br>
* You can save the analysis process and share it (as .vp file) with others <br>

2. Who and What is it for? <br>
Visual Python is a data analytics solution for both Programmers & Non-programmers. <br>

Programmers can use the tool : <br>
* to save & reuse user-defined (or repeatedly used) code <br>
* to find Python packages and functions from the list <br>

Non-programmers will be able to : <br>
* learn the Python language more easily <br>
* manage big data with minimal coding skills <br>

<br>

## Getting Started

### 1. Requirements

Visual Python is developed as an extension on Jupyter Notebook. <br>
We recommend installing Anaconda (virtual environment).

- Python version 3.x
- Jupyter notebook or Anaconda env <br>

### 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
```
<br>

Depending on your virtual environment settings, you may need to install Jupyter Extensions.<br>
To install Jupyter Extension, use commands either:
```
pip install jupyter_contrib_nbextensions
optional arguments:
-h, help - show this help message and exit
-e, enable - enable VisualPython
-d, disable - disable VisualPython
-i, install - install VisualPython extensions
-un, uninstall - uninstall VisualPython packages
-up, upgrade - upgrade VisualPython Package
-v, version - show VisualPython current version
```
or <br>
```
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. <br>

### 3. Package Control Info
* Usage: visualpy **[option]** <br>
* Optional arguments:

```
help - show help menu
uninstall - uninstall packages
upgrade - version upgrade
version - version check
```
<br>

## 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 you can learn and use big data analytics skills easily.


<br>

## License

GNU GPLv3 (See LICENSE file).
### 2.2. Activate VisualPython
> _visualpy install_ <br>
> or <br>
> _visualpy -i_

### 2.3. Disable VisualPython
> _visualpy disable_ <br>
> or <br>
> _visualpy -d_

### 2.4. Enable VisualPython extension
> _visualpy enable_ <br>
> or <br>
> _visualpy -e_

### 2.5. Upgrade VisualPython package version
> _visualpy upgrade_ <br>
> or <br>
> _visualpy -up_

### 2.6. Uninstall VisualPython package
> _visualpy uninstall_ <br>
> or <br>
> _visualpy -un_
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