Python Geospatial Development Essentials
Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application
Created by Karim Bahgat
Explore how to use Python and open source libraries to build a lightweight GIS desktop application. Learn to combine geospatial concepts with hands-on coding, so you can create, customize, and optimize spatial analysis tools for your specific needs.
Packt | Jun 2015 | 192 min
What You Will Learn
You will start by designing a basic GIS application, then gradually add features for data visualization and analysis. Through practical coding exercises, you will learn to manage spatial data, customize user interfaces, and integrate Python geospatial libraries. By the end, you will have a working, portable GIS tool you can adapt to your projects.
Key Features
- Build a customizable GIS desktop app using Python and open source tools
- Work with spatial data by loading, visualizing, and saving vector and raster formats
- Create flexible, reusable widgets and package your app for easy distribution
Target Audience
Perfect for Python programmers ready to dive into geospatial development, as well as analysts, geographers, and GIS specialists who want to build custom tools. If you have some Python experience and are interested in spatial analysis, you will gain practical skills to create and tailor GIS applications for your work.
