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1 | 1 | <!-- |
2 | 2 | #======================================================================== |
3 | 3 | # Filename : README.md |
4 | | -#function : control visualpython forMac/Linux |
5 | | -# Creator :BlackLogic - LJ |
6 | | -#version :2.0 |
| 4 | +#Function : control visualpython forWindow/Linux/Mac |
| 5 | +# Creator :Black Logic |
| 6 | +#Version :1.1.1 |
7 | 7 | # License : GPLv3 |
8 | 8 | # Date : 2020 07.27 |
9 | | -# Mdate :2020 12.24 |
| 9 | +# Mdate :2021 05.07 |
10 | 10 | #======================================================================== |
11 | 11 | --> |
12 | 12 |
|
13 | | -#1. Install Package ( windows / Linux / Mac ) |
14 | | -###1.1. requirements |
15 | | ->- Python 3.x |
16 | | ->- jupyter notebook or anaconda env <br> |
17 | | ->_pip install jupyter_ <br> |
18 | | -> or <br> |
19 | | ->_python -m pip install --user jupyter_ <br> |
20 | | -> |
21 | | ->_pip3 install jupyter_ <br> |
22 | | -> or <br> |
23 | | ->_python3 -m pip install --user jupyter_ <br> |
24 | | -
|
25 | | -###1.2. Install VisualPython package |
26 | | ->**[pip / conda]** <br> |
27 | | ->_pip install visualpython_ |
28 | | -
|
29 | | -###1.3. Optional package |
30 | | -* jupyter_contrib_nbextensions<br> |
31 | | -* Install to manage nbtextensions visually. |
32 | | ->>**[pip]**<br> |
33 | | ->>_pip install jupyter_contrib_nbextensions <br>_ |
34 | | - _jupyter contrib nbextension install --user_ <br> |
35 | | ->>**[conda - anaconda env]** <br> |
36 | | ->_conda install -c conda-forge jupyter_contrib_nbextensions_ <br> |
37 | | -_jupyter contrib nbextension install --user_ |
38 | | - |
39 | | -#2. Package controller for Linux/Mac/Windows |
40 | | -###2.1. VisualPython contoller info |
41 | | - |
42 | | ->**usage:_visualpy[option]_** <br> |
| 13 | +#Visual Python |
43 | 14 |
|
| 15 | +[](https://pypi.python.org/pypi/visualpython/) |
| 16 | +[](https://www.gnu.org/licenses/gpl-3.0.html) |
| 17 | +[](https://www.visualpython.ai) |
| 18 | + |
| 19 | + |
| 20 | +<br> |
| 21 | + |
| 22 | +##Introduction |
| 23 | +Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension. |
| 24 | +<br> |
| 25 | + |
| 26 | +1. Key Features |
| 27 | +* Automatically generates Python code based on a graphic user interface <br> |
| 28 | +* Creates code blocks by tasks (such as data processing, visualization) <br> |
| 29 | +* You can save the analysis process and share it (as .vp file) with others <br> |
| 30 | + |
| 31 | +2. Who and What is it for? <br> |
| 32 | +Visual Python is a data analytics solution for both Programmers & Non-programmers. <br> |
| 33 | + |
| 34 | +Programmers can use the tool : <br> |
| 35 | +* to save & reuse user-defined (or repeatedly used) code <br> |
| 36 | +* to find Python packages and functions from the list <br> |
| 37 | + |
| 38 | +Non-programmers will be able to : <br> |
| 39 | +* learn the Python language more easily <br> |
| 40 | +* manage big data with minimal coding skills <br> |
| 41 | + |
| 42 | +<br> |
| 43 | + |
| 44 | +##Getting Started |
| 45 | + |
| 46 | +###1. Requirements |
| 47 | + |
| 48 | +Visual Python is developed as an extension on Jupyter Notebook. <br> |
| 49 | +We recommend installing Anaconda (virtual environment). |
| 50 | + |
| 51 | +- Python version 3.x |
| 52 | +- Jupyter notebook or Anaconda env <br> |
| 53 | + |
| 54 | +###2. How to Install |
| 55 | + |
| 56 | +**1) Open Anaconda prompt** |
| 57 | + |
| 58 | +* Windows : Click Start > Search or Select 'Anaconda Prompt' <br> |
| 59 | +* Mac : Open Launchpad > Select 'Terminal' |
| 60 | + |
| 61 | +**2) Install package from** |
| 62 | +``` |
| 63 | +pip install visualpython |
| 64 | +``` |
| 65 | +<br> |
| 66 | + |
| 67 | +Depending on your virtual environment settings, you may need to install Jupyter Extensions.<br> |
| 68 | +To install Jupyter Extension, use commands either: |
44 | 69 | ``` |
45 | | - optional arguments: |
46 | | - -h, help - show this help message and exit |
47 | | - -e, enable - enable VisualPython |
48 | | - -d, disable - disable VisualPython |
49 | | - -i, install - install VisualPython extensions |
50 | | - -un, uninstall - uninstall VisualPython packages |
51 | | - -up, upgrade - upgrade VisualPython Package |
52 | | - -v, version - show VisualPython current version |
| 70 | +pip install jupyter_contrib_nbextensions |
53 | 71 | ``` |
| 72 | +or <br> |
| 73 | +``` |
| 74 | +conda install -c conda-forge jupyter_contrib_nbextensions |
| 75 | +``` |
| 76 | + |
| 77 | +**3) Enable the package** |
| 78 | +``` |
| 79 | +visualpy install |
| 80 | +``` |
| 81 | + |
| 82 | +**4) Activate Visual Python on Jupyter Notebook** |
| 83 | + |
| 84 | +Click orange square button on the right side of the Jupyter Notebook menu. <br> |
| 85 | + |
| 86 | +###3. Package Control Info |
| 87 | +* Usage: visualpy**[option]** <br> |
| 88 | +* Optional arguments: |
| 89 | + |
| 90 | +``` |
| 91 | +help - show help menu |
| 92 | +uninstall - uninstall packages |
| 93 | +upgrade - version upgrade |
| 94 | +version - version check |
| 95 | +``` |
| 96 | +<br> |
| 97 | + |
| 98 | +##Mission & Vision |
| 99 | + |
| 100 | + |
| 101 | +**Mission** <br> |
| 102 | +To support technology and education so that anyone can leverage big data analytics to create a variety of social values. |
| 103 | + |
| 104 | +**Vision** <br> |
| 105 | +To create an environment where you can learn and use big data analytics skills easily. |
| 106 | + |
| 107 | + |
| 108 | +<br> |
| 109 | + |
| 110 | +##License |
54 | 111 |
|
55 | | -###2.2. Activate VisualPython |
56 | | ->_visualpy install_ <br> |
57 | | ->or <br> |
58 | | ->_visualpy -i_ |
59 | | -
|
60 | | -###2.3. Disable VisualPython |
61 | | ->_visualpy disable_ <br> |
62 | | ->or <br> |
63 | | ->_visualpy -d_ |
64 | | -
|
65 | | -###2.4. Enable VisualPython extension |
66 | | ->_visualpy enable_ <br> |
67 | | ->or <br> |
68 | | ->_visualpy -e_ |
69 | | -
|
70 | | -###2.5. Upgrade VisualPython package version |
71 | | ->_visualpy upgrade_ <br> |
72 | | ->or <br> |
73 | | ->_visualpy -up_ |
74 | | -
|
75 | | -###2.6. Uninstall VisualPython package |
76 | | ->_visualpy uninstall_ <br> |
77 | | ->or <br> |
78 | | ->_visualpy -un_ |
| 112 | +GNU GPLv3 (See LICENSE file). |