Rob Story - Up and Down the Python Data and Web Visualization Stack

Опубликовано: 23 Июнь 2014
на канале: PyData

6,732

PyData SV 2014
In the past two years, there has been incredible progress in Python data visualization libraries, particularly those built on client-side JavaScript tools such as D3 and Leaflet. This talk will give a brief demonstration of many of the newest charting libs: mpld3 (using Seaborn/ggplot), nvd3-python, ggplot, Vincent, Bearcart, Folium,and Kartograph will be used to visualize a newly-released USGS/FAA wind energy dataset (with an assist from Pandas and the IPython Notebook). After a demo of the current state of Python and web viz, it will discuss the future of how the Python data stack can have seamless interoperability and interactivity with JavaScript visualization libraries.

0:00 - Introduction
2:30 - Python Data visualization libraries
4:31 - The present is Web visualization
5:10 - IPython is like glue-all
5:45 - The new stack
7:43 - Demo
9:47 - Vincent Library
14:34 - GGPlot Library
17:23 - Bokeh Library
18:45 - Bearcart Library
20:41 - Seaborn Library
23:11 - Folium Library
25:30 - End of Demo
25:43 - The Future
26:46 - Sticky Library Code Example
31:42 - End of talk
32:15 - Questions

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