BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-2022//talk//7WJNCB
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-2022-7WJNCB@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T141500
DTEND;TZID=CET:20220824T144500
DESCRIPTION:GeoPandas is one of the core packages in the Python ecosystem t
 o work with geospatial vector data. By combining the power of several open
  source geo tools (GEOS/Shapely\, GDAL/fiona\, PROJ/pyproj) and extending 
 the pandas data analysis library to work with geographic objects\, it is d
 esigned to make working with geospatial data in Python easier. GeoPandas e
 nables you to easily do operations in Python that would otherwise require 
 desktop applications like QGIS or a spatial database such as PostGIS.\n\nT
 his talk will give an overview of recent developments in the GeoPandas com
 munity\, both in the project itself as in the broader ecosystem of package
 s on which GeoPandas depends or that extend GeoPandas. We will highlight s
 ome changes and new features in recent GeoPandas versions\, such as the ne
 w interactive explore() visualisation method\, improvements in joining bas
 ed on proximity\, better IO options for PostGIS and Apache Parquet and Fea
 ther files\, and others. But some of the important improvements coming to 
 GeoPandas are happening in other packages. The Shapely 2.0 release is near
 ing completion\, and will provide fast vectorized versions of all its geos
 patial functionalities. This will help to substantially improve the perfor
 mance of GeoPandas. In the area of reading and writing traditional GIS fil
 es using GDAL\, the pyogrio package is being developed to provide a speed-
 up on that front. Another new project is dask-geopandas\, which is merging
  the geospatial capabilities of GeoPandas with the scalability of Dask. Th
 is way\, we can achieve parallel and distributed geospatial operations.
DTSTAMP:20260404T161233Z
LOCATION:Room Limonaia
SUMMARY:State of GeoPandas and friends - Joris van den Bossche
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/7WJNCB/
END:VEVENT
END:VCALENDAR
