<ul><li>A career talk led to the author sharing resources on GIS in Python and cloud-native geospatial with a student focusing on Data Analytics and AI.</li><li>Key tools recommended include GDAL for reading and writing geospatial data, command-line tools for basic processing, and Git for version control.</li><li>Python libraries such as GeoPandas, rasterio, and shapely were suggested for geospatial data manipulation.</li><li>Cloud Native Geospatial concepts and tutorials on STAC catalogues and COG files were recommended for understanding.</li><li>The author's blog and relevant posts on topics like aerial photo searching and PostGIS were shared for further learning.</li><li>Conference talks from PostGIS Day and FOSS4G UK highlighted specific talks on SQL queries, Mapbox Vector Tile creation, and QGIS plugins.</li><li>Various YouTube videos from FOSS4G conferences were mentioned for additional insights on geospatial topics.</li><li>Learning projects/tasks were provided, including tasks related to flood risk analysis and elevation data processing using tools like QGIS, Python, and GDAL.</li></ul>

Robin Wilson: Learning resources for GIS in Python with cloud-native geospatial, PostGIS and more

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