Introduction to Scaling Up Geospatial Data Science With Distributed Computing

Exploring Scaling Up Geospatial Data Science With Distributed Computing reveals several interesting facts. Brendan Collins (Co-Founder at makepath), who has created and/or contributed to libraries including Datashader, Bokeh, and ...

Scaling Up Geospatial Data Science With Distributed Computing Comprehensive Overview

Chair: Judith Hill, Oak Ridge National Lab Presented by: Shaowen Wang, Director, CyberGIS Center for Advanced Digital and ... I'll assume that that folks are seeing my screen um so this is the 27 Juin 2023.

In this talk, James Bourbeau, software engineer at Coiled explain how to improve Dask and Xarray for large

Summary & Highlights for Scaling Up Geospatial Data Science With Distributed Computing

  • "The modern Python
  • We'll go through some high-level examples of various kinds of
  • Dask is a flexible
  • Esri Managed
  • Distributing Geospatial Data

Stay tuned for more updates related to Scaling Up Geospatial Data Science With Distributed Computing.

Scaling Up Geospatial Data Science With Distributed Computing.pdf

Size: 15.60 MB · Format: PDF · Secure Download

Download PDF Read Online

Related Documents