Essentials for PyQGIS: Python for Geospatial Automation

Load vector layers from shapefiles, style and query them, edit attributes, and export vector data in QGis using PyQGIS; apply categorized styling for capitals and cities.

Master PyQGIS vector layer operations by querying attributes, filtering cities with population greater than 1 million, performing spatial and nearest-neighbor queries, and styling roads.

Master vector layers in PyQGIS by adding and updating attributes, including a zip code field, then export the edited layer to shapefile and GeoJSON.

Learn to load, manipulate, analyze, and export raster data in QGIS with Python, covering geotiff, georeferenced tiff, jpg, and png formats, and properties like extent, dimensions, and crs.

Manipulate raster styles with a single band pseudo color renderer, build a color ramp shader, and apply min–max stops; query raster values at points and edit raster blocks.

Create and edit rasters with PyQGIS, defining dimensions and CRS, writing data blocks, performing hillshade analysis, exporting rasters, and applying color ramps for geospatial automation.

Master how to execute QGIS processing algorithms with Python using the processing run method to automate buffers, clipping, and spatial analysis. Explore practical examples and load results as new layers.

Reproject layers with the native Reproject layer algorithm and automate QGIS processing using Python, including memory layers, batch runs, and robust error handling for geospatial workflows.

Chain multiple QGIS geoprocessing tasks to load roads and places, reproject layers, select primary roads, create buffers, and find places along those roads while printing their names.

Learn to write and run a custom processing script in QGis using the PyQGIS Python API, automating data conversion, spatial analysis, and map creation through the processing toolbox.

Build your own PyQGIS processing script in part 2, run and batch-process shapefiles to count features, generate output layers, and log progress with error handling.

Explore automated map production with PyQGIS part 1, programmatically creating a landscape A4 layout, positioning map elements, and exporting to PDF and SVG for reports, publications and batch processing.

Automate map production in QGIS with PyQGIS, creating layouts, frames, north arrows, scale bars, and legends, while handling CRS alignment and exporting to pdf and svg.

Learn to build a QGIS plugin that calculates land surface temperature from Landsat eight thermal infrared band ten, converting toa radiance to brightness temperature and applying a thermal color ramp.