BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//cfp.scipy.org//2023//speaker//EH7JQT
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20220713T000000
TZNAME:CDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0500
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221106T020000
RDATE:20231105T020000
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230312T030000
RDATE:20240310T030000
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Interactive Exploration of Large-Scale Datasets with Jupyter-Scatt
 er - Fritz Lekschas
DTSTART;TZID=America/Chicago:20230713T112500
DTEND;TZID=America/Chicago:20230713T115500
DTSTAMP:20261017T025510Z
UID:pretalx-2023-AXSVZ3@cfp.scipy.org
DESCRIPTION:Jupyter-scatter is a scalable\, interactive\, and interlinked 
 scatter plot widget for exploring datasets with up to several million data
  points. It focuses on data-driven visual encodings and offers two-way pan
 +zoom and lasso interactions. Beyond a single instance\, jupyter-scatter c
 an compose multiple scatter plots and synchronize their views and selectio
 ns. Moreover\, points can be connected by spline-interpolated lines. Thank
 s to the underlying WebGL rendering engine\, spatial and color changes are
  smoothly transitioned. Finally\, the API integrates seamlessly with Panda
 s DataFrames and offers functional methods that group properties by type t
 o ease accessibility and readability.
LOCATION:Amphitheater 204
URL:https://cfp.scipy.org/2023/talk/AXSVZ3/
END:VEVENT
END:VCALENDAR