In August we discussed the use of Python, and geospatial analysis libraries, in conjunction with the Autonomous Database's spatial features. David walked through a Jupiter notebook and outlined two scenarios. The first used spatial analysis, on a national scale dataset of vehicle accidents, to identify hot spots and cold spots where speeding was a factor or not a factor in the accident. The second scenario involved a spatio-temporal analysis of unemployment statistics. Here's a quick guide to the highlights:

1:00 David provides an overview of Spatial features in the Oracle Database
6:42 He discusses the vast ecosystem of geospatial analysis libraries for Python
8:44 He provides the URL for a PDF version of the Jupiter notebook with the demos
11:35 David introduces the first demo scenario
29:00 He discusses the second demo scenario