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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd Edition
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Author (1):
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 Westra Westra
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Westra
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Table of Contents (20) Chapters Close

Python Geospatial Development Third Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

Tools and techniques for geospatial web development


While web browsers were initially designed to show static HTML pages, they are now a sophisticated programming environment in their own right. Complex applications can now be implemented in JavaScript running on the user's web browser, interacting with server-side APIs and web services to perform tasks that previously could only be implemented using complex standalone systems.

Web application development has transformed the programming landscape, and geospatial developers have not been left behind. In this section, we will learn about web application development and see how these technologies can be applied to build sophisticated geospatial systems that run within the user's web browser.

Web applications

There are many ways in which you can develop a web-based application. You can write your own code by hand, for example as a series of CGI scripts or you can use one of the many web application frameworks available. In this section, we will...

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