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QGIS Python Programming Cookbook, Second Edition

You're reading from QGIS Python Programming Cookbook, Second Edition Automating geospatial development

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787124837

Length 464 pages

Edition 2nd Edition

Languages

Python

Tools

Eclipse

Concepts

Geospatial Analysis

Author (1):

Joel Lawhead

View More author details

Table of Contents (10) Chapters

Preface

1. Automating QGIS FREE CHAPTER

2. Querying Vector Data

3. Editing Vector Data

4. Using Raster Data

5. Creating Dynamic Maps

6. Composing Static Maps

7. Interacting with the User

8. QGIS Workflows

9. Other Tips and Tricks

Chapter 1. Automating QGIS

In this chapter, we will focus on the tools needed to write Python scripts for the PyQGIS framework. We will cover the following recipes:

Installing QGIS 2.18 for development
Using the QGIS Python console for interactive control
Automatically starting the Python console
Using Python's Script Runner plugin
Setting up your QGIS IDE
Debugging QGIS Python scripts
Navigating the PyQGIS API
Creating a traditional QGIS plugin
Creating a Processing Toolbox plugin
Distributing a plugin
Building a standalone application
Storing and reading global preferences
Storing and reading project preferences
Accessing the script path from within your script

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QGIS Python Programming Cookbook, Second Edition

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QGIS Python Programming Cookbook, Second Edition - Second Edition

Published in: Mar 2017

Publisher: Packt

ISBN-13: 9781787124837

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Authors (1)

Joel Lawhead

Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified GIS Professional (GISP), and vice president of NVision Solutions, Inc., an award-winning firm specializing in geospatial technology integration and sensor engineering for NASA, FEMA, NOAA, the US Navy, and many other commercial and non-profit organizations. Joel began using Python in 1997 and started combining it with geospatial software development in 2000. He has authored multiple editions of Learning Geospatial Analysis with Python and QGIS Python Programming Cookbook, both from Packt. He is also the developer of the open source Python Shapefile Library (PyShp) and maintains a geospatial technical blog.

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