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UID:pretalx-foss4g-2025-RDZMQP@talks.staging.osgeo.org
DTSTART;TZID=NZST:20251118T090000
DTEND;TZID=NZST:20251118T120000
DESCRIPTION:Geospatial workflows can be surprisingly energy-intensive. This
  workshop introduces Rust as a fast\, efficient alternative to interpreted
  languages like Python and R. Learn how Rust’s performance and safety ma
 ke it ideal for sustainable geospatial analysis\, and explore the eorst to
 olkit for spatial data\, raster processing\, and modelling.
DTSTAMP:20260505T233308Z
LOCATION:WF610
SUMMARY:Oxidize to Decarbonize. Building more sustainable geospatial proces
 ses with Rust Workshop - Leonardo Hardtke
URL:https://talks.staging.osgeo.org/foss4g-2025/talk/RDZMQP/
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