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Add bokeh installation (#30380)

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Varian Caesar
2019-06-23 11:21:49 +07:00
committed by Tom
parent a412aa83c3
commit ae47b41ea3
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guide/english/data-science-tools/visualization-bokeh/index.md
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@ -5,8 +5,18 @@ Bokeh is a Python interactive visualization library, providing the elegant and c
This distinguishes bokeh from other visualization libraries such as matplotlib or seaborn. With the help of bokeh even very large data sets can be visualized. Because they can be adapted dynamically, e.g. by zooming into certain sections or selecting axes to be displayed, it is possible to provide a visual overview even over large amounts of data and to make the display interpretable.
### Installation
#### Conda Installation
```
conda install bokeh
```
#### Pip Installation
```
pip install bokeh
```
### More Information:
[Bokeh Official Website](https://bokeh.pydata.org/en/latest/)
[Bryan Van de Ven, PyBay2016, 55:47](https://www.youtube.com/watch?v=xqwCxuEBpxk)
[Bryan Van de Ven, PyData SF 2016, 2:14:00](https://www.youtube.com/watch?v=M1-MVYLONZc)
[DataCamp.com bokeh Cheat Sheet] (https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Bokeh_Cheat_Sheet.pdf)
[DataCamp.com bokeh Cheat Sheet](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Bokeh_Cheat_Sheet.pdf)