This is the code repository for Automated Data Processing with PyQGIS [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. QGIS, paired with the most efficient scripting language, Python, enables us to write effective scripts that extend the core functionality of QGIS. Based on version QGIS 2.18, this book will teach you how to write Python code that works with spatial data to automate geo-processing tasks in QGIS. It covers topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, re-project a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we’ll also share a few tips and tricks based on different aspects of QGIS.

To fully benefit from the coverage included in this course, you will need:
This video course is for geospatial analysts who want to learn more about automating everyday GIS tasks as well as programmers responsible for building GIS applications. Its short, reusable recipes make concepts easy to understand and combine so you can build larger applications that are easy to maintain.

This course has the following software requirements:
QGIS 2.18

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