@@ -15,15 +15,66 @@ library that allows a developer to code in Python and output
1515<img src =" /img/logos/bokeh.jpg " width =" 100% " alt =" Bokeh logo on a dark background. " class =" technical-diagram " style =" border-radius 5px " />
1616
1717
18+ ## Why is Bokeh a useful library?
19+ Web browsers are ideal clients for consuming interactive visualizations.
20+ However, libraries such as [ d3.js] ( https://d3js.org/ ) can be
21+ difficult to learn and time consuming to connect to your Python backend
22+ web app. Bokeh instead generates the JavaScript for your application while
23+ you write all your code in Python. The removal of context switching between
24+ the two programming languages can make it easier and faster to create
25+ charts and visualizations.
26+
27+
28+ ## What do Bokeh visualizations look like?
29+ Bokeh can create any type of custom graph or visualization. For example,
30+ here is a screenshot of a bar chart created with the
31+ [ figure] ( http://bokeh.pydata.org/en/latest/docs/reference/plotting.html )
32+ plot:
33+
34+ <img src =" /img/170526-bar-charts-bokeh-flask/chart-example-64.png " width =" 100% " class =" technical-diagram img-rounded " style =" border 1px solid #ccc " alt =" Responsive Bokeh bar chart with 64 bars. " >
35+
36+ For more references, including interactive live demonstrations, check out
37+ these sites:
38+
39+ * The
40+ [ official Bokeh gallery] ( http://bokeh.pydata.org/en/latest/docs/gallery.html )
41+ has many example Bokeh visual formats.
42+
43+ * [ Bokeh Applications] ( https://demo.bokehplots.com/ ) hosts numerous
44+ data visualizations built with Bokeh.
45+
46+ * [ bokeh-notebooks] ( https://github.com/bokeh/bokeh-notebooks/tree/master/gallery )
47+ has a nice collection of Bokeh visualizations within
48+ [ Jupyter Noteboks] ( /jupyter-notebook.html ) .
49+
1850
1951### Bokeh resources
52+ Bokeh is under heavy development ahead of the upcoming 1.0 release. Note that
53+ while all of the following tutorials are useful, it is possible some of the
54+ basic syntax will change as the library's API is not yet stable.
55+
56+ * [ Responsive Bar Charts with Bokeh, Flask and Python 3] ( /blog/responsive-bar-charts-bokeh-flask-python-3.html ) is my recommended
57+ tutorial for those new to Bokeh who want to try out the library and get
58+ an example project running quickly with [ Flask] ( /flask.html ) .
59+
60+ * [ Creating Bar Chart Visuals with Bokeh, Bottle and Python 3] ( /blog/python-bottle-bokeh-bar-charts.html )
61+ is a tutorial that combines the [ Bottle] ( /bottle.html )
62+ [ web framework] ( /web-frameworks.html )
63+
2064* [ Integrating Pandas, Django REST Framework and Bokeh] ( http://www.machinalis.com/blog/pandas-django-rest-framework-bokeh/ )
65+ has a full example of integrating a
66+ [ web API] ( application-programming-interfaces.html ) with a Bokeh
67+ front end visual.
2168
2269* [ Visualization with Bokeh] ( http://www.blog.pythonlibrary.org/2016/07/27/python-visualization-with-bokeh/ )
2370
2471* [ Using Bokeh at NIST] ( https://www.continuum.io/blog/developer-blog/using-bokeh-nist )
72+ contains a real-world example of building an interactive visual to show
73+ firefighter gear data.
2574
2675* [ Drawing a Brain with Bokeh] ( http://merqur.io/2015/10/02/drawing-a-brain-with-bokeh/ )
76+ is a fun example of a chord diagram that represents neural connections in
77+ the brain.
2778
2879* [ Bryan Van de Ven on Bokeh] ( https://pythonpodcast.com/episode-22-bryan-van-de-ven-on-bokeh/ )
2980 is a podcast episode by one of the main Bokeh maintainers.
@@ -32,5 +83,15 @@ library that allows a developer to code in Python and output
3283 by Jake VanderPlas at PyCon 2017 covers many Python data visualization
3384 tools, including Bokeh.
3485
35- * [ Bokeh Applications] ( https://demo.bokehplots.com/ ) hosts numerous
36- data visualizations built with Bokeh.
86+ * [ Enjoying the bokeh.models API] ( https://bokeh.github.io/blog/2017/7/5/idiomatic_bokeh/ )
87+ explains the ` bokeh.models.plots.Plot ` object and data ranges.
88+
89+ * This
90+ [ flask-bokeh-example] ( https://github.com/realpython/flask-bokeh-example/blob/master/tutorial.md )
91+ project has the code to create a simple chart with Bokeh and
92+ [ Flask] ( /flask.html ) .
93+
94+ * [ Styling Bokeh Visualizations] ( https://bokeh.github.io/blog/2017/7/24/styling-bokeh/ )
95+ shows how to use themes and style dictionaries to customize your Bokeh
96+ visuals.
97+
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