[](https://pypi.python.org/pypi/visualpython/)

[](https://www.gnu.org/licenses/gpl-3.0.html)

[](https://www.visualpython.ai)

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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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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>

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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>

**1) Open Anaconda prompt**

* Windows : Click Start > Search or Select 'Anaconda Prompt' <br>

* Mac : Open Launchpad > Select 'Terminal'

**2) Install package from**

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Depending on your virtual environment settings, you may need to install Jupyter Extensions.<br>

To install Jupyter Extension, use commands either:

or <br>

**3) Enable the package**

**4) Activate Visual Python on Jupyter Notebook**

Click orange square button on the right side of the Jupyter Notebook menu. <br>

* Usage: visualpy **[option]** <br>

* Optional arguments:

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**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.

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GNU GPLv3 (See LICENSE file).