How-To Guides

Concrete, step-by-step solutions for Python GIS tasks — from loading a shapefile to shipping a scheduled, tested, containerised pipeline.

These guides are built around specific, real-world tasks. Each one starts with a clear problem statement, gives you a quick working answer, and then walks through a complete solution with code you can copy and adapt.

They span the whole arc of a GIS workflow. The everyday operations are here — reading a shapefile, reprojecting, filtering, spatial joins, buffers, choropleths, raster extraction. So is everything that comes after: cleaning messy attributes and geometry, batch-processing whole folders, chunking datasets too large for memory, building configurable pipelines, testing them, containerising them, running them in CI, and driving QGIS itself from Python.

Every guide is self-contained, so you do not need to read them in order. If you would rather follow a route than pick a single task, the learning paths string these guides into four topic-based sequences.

123 How-to guides
58 Concepts
58 Fixes

Browse by topic

The fastest way in. Each topic page gathers these guides alongside the concepts behind them and the errors they cause.

See all 14 topics, including the concepts and fixes →

Or follow a learning path

Curated routes in the order that builds on itself — concepts first, then each task, then the errors it produces.

Every how-to guide, A–Z

123 guides in total. Showing 1–30, page 1 of 5.

Running into errors?

If something is not working — a CRS mismatch, a batch job that stops on one bad file, a scheduled script that never runs — the fixes section has targeted answers for each of these workflows.

Browse the Fixes 🔧 Follow a Learning Path 📚 Review the Concepts 🧭