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UID:pretalx-2024-JRLMLD@cfp.scipy.org
DTSTART;TZID=PST:20240708T133000
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DESCRIPTION:Bokeh is a library for interactive data visualization. You can 
 use it with Jupyter Notebooks or create standalone web applications\, all 
 using Python. This tutorial is a thorough guide to Bokeh and its most rece
 nt new features. We start with a basic line plot and\, step-by-step\, make
  our way to creating a dashboard web application with several interacting 
 components. This tutorial will be helpful for scientists who are looking t
 o level up their analysis and presentations\, and tool developers interest
 ed in adding custom plotting functionally or dashboards.
DTSTAMP:20260417T054153Z
LOCATION:Room 316
SUMMARY:Interactive data visualizations with Bokeh (in 2024) - Pavithra Esw
 aramoorthy\, Bryan Van de Ven\, Timo Metzger
URL:https://cfp.scipy.org/2024/talk/JRLMLD/
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