E-Book, Englisch, 192 Seiten
Bahgat Python Geospatial Development Essentials
1. Auflage 2025
ISBN: 978-1-78217-441-7
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application
E-Book, Englisch, 192 Seiten
ISBN: 978-1-78217-441-7
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop applicationKey Features - Develop a GIS application that you can easily modify and customize
- Optimize your GIS application for user productivity and efficiency
- Discover Python’s many geospatial libraries and learn how they can work together
Book DescriptionThis book is ideal for Python programmers who are tasked with or wish to make a special-purpose GIS application. Analysts, political scientists, geographers, and GIS specialists seeking a creative platform to experiment with cutting-edge spatial analysis, but who are still only beginners in Python, will also find this book beneficial. Familiarity with Tkinter application development in Python is preferable but not mandatory.What you will learn - Design and structure a basic GIS application based on existing tools
- Customize Tkinter application widgets to make your very own toolkit of flexible and reusable GIS widgets
- Load, manipulate, and save spatial data, both vector and raster
- Create an interactive and zoomable window for visualizing spatial data
- Manage and organize spatial data
- Create the beginnings of a comprehensive Python library for many types of geospatial tasks, and use this API as the engine behind your application
- Package your final application into a lightweight and portable executable application
Who this book is forThis book is ideal for Python programmers who are tasked with or wish to make a special-purpose GIS application. Analysts, political scientists, geographers, and GIS specialists seeking a creative platform to experiment with cutting-edge spatial analysis, but who are still only beginners in Python, will also find this book beneficial. Familiarity with Tkinter application development in Python is preferable but not mandatory.




