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Building Mapping Applications with QGIS

You're reading from   Building Mapping Applications with QGIS Create your own sophisticated applications to analyze and display geospatial information using QGIS and Python

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Product type Paperback
Published in Dec 2014
Publisher Packt
ISBN-13 9781783984664
Length 264 pages
Edition 1st Edition
Tools
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with QGIS FREE CHAPTER 2. The QGIS Python Console 3. Learning the QGIS Python API 4. Creating QGIS Plugins 5. Using QGIS in an External Application 6. Mastering the QGIS Python API 7. Selecting and Editing Features in a PyQGIS Application 8. Building a Complete Mapping Application using Python and QGIS 9. Completing the ForestTrails Application Index

About the QGIS Python APIs


The QGIS system itself is written in C++, and has its own set of APIs that are also written in C++. The Python APIs are implemented as wrappers around these C++ APIs. For example, there is a Python class named QgisInterface that acts as a wrapper around a C++ class of the same name. All the methods, class variables, and the like that are implemented by the C++ version of QgisInterface are made available through the Python wrapper.

What this means is that when you access the Python QGIS APIs, you aren't accessing the API directly. Instead, the wrapper connects your code to the underlying C++ objects and methods, as follows:

Fortunately, in most cases, the QGIS Python wrappers simply hide away the complexity of the underlying C++ code, so the PyQGIS libraries work as you would expect them to. There are some gotchas, however, and we will cover these as they come up.

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