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SUMMARY:Interactive data visualization with Bokeh - Pavithra Eswaramoorthy
 \, Ian Thomas\, Bryan Van de Ven\, Timo Metzger\, Victoria Adesoba
DTSTART;TZID=America/Chicago:20230711T133000
DTEND;TZID=America/Chicago:20230711T173000
DTSTAMP:20261015T195825Z
UID:pretalx-2023-C9QZXU@cfp.scipy.org
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 complete guide to Bokeh\, where we start
  with a basic line plot and step-by-step make our way to creating a dashbo
 ard with several interacting components. This tutorial will be helpful for
  scientists who are looking to level-up their analysis and presentations\,
  and tool developers interested in adding custom plotting functionally or 
 dashboards.
LOCATION:Classroom 105
URL:https://cfp.scipy.org/2023/talk/C9QZXU/
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