BEGIN:VCALENDAR
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7949\nCommunicating the patterns found in data is hard enough without the data coming from diverse sources and in unprecedented volumes.  A fundamentally human way of interpreting patterns and insights in data is through visualization.  We will present easy to implement case studies of diverse visualization strategies from summary statistics to visualizing statistical inference from machine learning algorithms on big data.\nPython is a powerful development, computational, and programming environment and one of the areas where Python excels is visualization and analysis of big data, due to several high-quality modules for both simple and advanced visual analytics. This tutorial will cover the following big-data visualization capabilities in Python:\n-interactive plotting with IPython, matplotlib, and databases, -building web visualizations with Bokeh, -and Python integration with VTK and ParaView. -Additional information will also be provided on mapreduce and NoSQL capabilities in our case studies.\nAttendees will leave with an understanding of a breadth of visualization capabilities and with a general impression of the ease to which these techniques can be applied to diverse domains and data types, across varied data disciplines.
DTSTART:20150820T130000
SUMMARY:PM3: Visual Analytics for Big Data in Python
DTEND:20150820T161459
LOCATION: See Description
END:VEVENT
END:VCALENDAR