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Visualizing Twitter Data with Blaze and Bokeh
--client
pytexas
--show
pytexas2014
--room MSC_2300_B 8744 --force
Next: 1 A CPython Eating Its Own Tail
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Marks
Author(s):
Christine Doig
Location
MSC 2300 B
Date
oct Sun 05
Days Raw Files
Start
15:00
First Raw Start
14:59
Duration
00:50:00
Offset
0:00:10
End
15:50
Last Raw End
15:44
Chapters
00:00
Total cuts_time
0 min.
http://www.pytexas.org/2014/talks/45/
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Making nice interactive data visualizations in the browser should be easy and fun! Let's explore tweets with simple IPython notebooks, a Blaze interface and Bokeh plots! Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. http://bokeh.pydata.org/ Blaze provides a uniform and adaptable interface to access a variety of backends, which include streaming Python, Pandas, SQLAlchemy, and Spark. http://blaze.pydata.org/
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2014-10-05/14_59_50.dv
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14:59:50 - 15:44:19 ( 00:44:29 )
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14:59:50
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