Video recording and production done by Enthought.
With support from the DARPA XDATA Initiative, and contributions from community members, the Bokeh visualization library (http://bokeh.pydata.org) has grown into a large, successful open source project with heavy interest and following on GitHub (https://github.com/ContinuumIO/bokeh). The principal goals of Bokeh are to provide capability to developers and domain experts:
easily create novel and powerful visualizations
that extract insight from remote, possibly large data sets
published to the web for others to explore and interact
This talk will describe how the architecture of Bokeh enables these goals, and demonstrate how it can be leveraged by anyone using python for analysis to visualize and present their work. We will talk about current development and future plans, including a brief discussion of Joseph Cottam's exciting academic work on abstract rendering for large data sets that is going into Bokeh (https://github.com/JosephCottam/AbstractRendering).