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1 | | -# Visual Python |
| 1 | +# Welcome to the Visual Python |
2 | 2 | [](https://pypi.python.org/pypi/visualpython/) |
3 | | -[](https://www.gnu.org/licenses/gpl-3.0.html) |
4 | | -[](https://github.com/visualpython/visualpython/blob/main/CODE_OF_CONDUCT.md) |
5 | | -<img alt="open collective badge" src="https://opencollective.com/visual_python/tiers/backer/badge.svg?label=backer&color=yellow"/> |
| 3 | +[](https://www.gnu.org/licenses/gpl-3.0.html) |
| 4 | +[](https://github.com/visualpython/visualpython/blob/main/CODE_OF_CONDUCT.md) |
| 5 | +<img alt="open collective badge" src="https://opencollective.com/visualpython/tiers/backer/badge.svg?label=Backer&color=orange" /> |
6 | 6 |
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7 | | -## Introduction |
8 | | -Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension. |
9 | | - |
10 | | -<img src="https://i.esdrop.com/d/7o0dj05m8rnz/sgKUVlLpRx.png" width="85%"> |
11 | | - |
12 | | -1. Key Features |
13 | | -* Automatically generates Python code based on a graphic user interface <br> |
14 | | -* Creates code blocks by tasks (such as data processing, visualization) <br> |
15 | | -* You can save the analysis process and share it (as .vp file) with others <br> |
16 | 7 |
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17 | | -2. Who and What is it for? <br> |
18 | | -Visual Python is a data analytics solution for both Programmers & Non-programmers. <br> |
| 8 | +## Introduction |
| 9 | +Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook as an extension. <br> |
| 10 | +Visual Python is an open source project started for students who struggle with coding during a Python class for data science. |
19 | 11 |
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20 | | -Programmers can use the tool : <br> |
21 | | -* to save & reuse user-defined (or repeatedly used) code <br> |
22 | | -* to find Python packages and functions from the list <br> |
| 12 | +<br> |
23 | 13 |
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24 | | -Non-programmers will be able to : <br> |
25 | | -* learn the Python language more easily <br> |
26 | | -* manage big data with minimal coding skills <br> |
| 14 | +Try Visual Python if you would like: <br> |
| 15 | +* to manage big data with minimal coding skills. <br> |
| 16 | +* to help students / business analysts / researchers to overcome learning barriers for Python. <br> |
| 17 | +* to save & reuse repeatedly used codes(snippets). <br> |
27 | 18 |
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| 19 | +<br> |
| 20 | +<img src="https://i.esdrop.com/d/7o0dj05m8rnz/ZPvkMGVeix.gif" width="85%"> |
28 | 21 |
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29 | 22 | ## Getting Started |
30 | 23 |
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31 | 24 | ### 1. Requirements |
32 | 25 |
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33 | | -Visual Python is developed as an extension on Jupyter Notebook. <br> |
| 26 | +Visual Python is a Jupyter Notebook extension. <br> |
34 | 27 | We recommend installing Anaconda (virtual environment). |
35 | 28 |
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36 | 29 | - Python version 3.x |
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