Python

An introduction to the cloud-native geospatial stack: GeoParquet for vector data, Cloud Optimized GeoTIFFs (COGs) for raster data, and the SpatioTemporal Asset Catalog (STAC) specification for discovery. Covers practical Python examples using rio-cogeo, pystac-client, and geopandas with GeoParquet.

A practical guide to building spatial ETL (extract, transform, load) pipelines using GeoPandas and Shapely. Covers reading and writing spatial formats, geometry validation and repair, coordinate reference system management, spatial joins, and outputting clean data to PostGIS or GeoParquet.

Introducing Chora, the first Python library to model the human experience of place. Built on rigorous theory from GIScience, cognitive geography, and social physics, Chora provides tools for processing GPS traces, detecting routines, mapping emotions, and understanding places as lived experiences rather than coordinate pairs.

Explore OS³: an open teaching platform with modular labs covering SQLi, XSS, CSRF, SSRF, access control, cryptography, logging, monitoring, and network defence. Ideal for higher education, professional upskilling, and community workshops.