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1 | 1 | <!-- |
2 | 2 | #======================================================================== |
3 | 3 | # Filename : README.md |
4 | | -#Function : control visualpython forWindow/Linux/Mac |
5 | | -# Creator :Black Logic |
6 | | -#Version :1.1.0 |
| 4 | +#function : control visualpython forMac/Linux |
| 5 | +# Creator :BlackLogic - LJ |
| 6 | +#version :2.0 |
7 | 7 | # License : GPLv3 |
8 | 8 | # Date : 2020 07.27 |
9 | | -# Mdate :2021 05.06 |
| 9 | +# Mdate :2020 12.24 |
10 | 10 | #======================================================================== |
11 | 11 | --> |
12 | 12 |
|
13 | | -#Visual Python |
| 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> |
14 | 43 |
|
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: |
69 | 44 | ``` |
70 | | -pip install jupyter_contrib_nbextensions |
| 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 |
71 | 53 | ``` |
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 |
111 | 54 |
|
112 | | -GNU GPLv3 (See LICENSE file). |
| 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_ |