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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260409T093515
UID:201352@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20241106T090000
DTEND;TZID=America/Chicago:20241106T130000
DESCRIPTION:Creating Data Dashboards with Streamlit. This workshop lesson i
 s an introduction to making interactive data visualizations in Python. Lea
 rners will create a new environment using conda\, wrangle data into the pr
 oper format using pandas library\, create visualizations using the Plotly 
 Python library\, and display these visualizations and create widgets using
  Streamlit.\n\nURL: https://uw-madison-datascience.github.io/2024-09-25-uw
 madison-mini/
SUMMARY:Interactive Data Visualizations in Python
URL;VALUE=URI:https://uw-madison-datascience.github.io/2024-09-25-uwmadison
 -mini/
END:VEVENT
END:VCALENDAR