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Key benefits

• Learn the full geo-processing workflow using Python with open source packages

• Create press-quality styled maps and data visualization with high-level and reusable code

• Process massive datasets efficiently using parallel processing

Description

From Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused. Much more than simple scripts, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them. With pluggable mechanisms, you will learn how to visualize data and the results of analysis in beautiful maps that can be batch-generated and embedded into documents or web pages. Finally, you will learn how to consume and process an enormous amount of data very efficiently by using advanced tools and modern computers’ parallel processing capabilities.

Who is this book for?

Geospatial Development By Example with Python is intended for beginners or advanced developers in Python who want to work with geographic data. The book is suitable for professional developers who are new to geospatial development, for hobbyists, or for data scientists who want to move into some simple development.

What you will learn

• Prepare a development environment with all the tools needed for geo-processing with Python

• Import point data and structure an application using Python's resources

• Combine point data from multiple sources, creating intuitive and functional representations of geographic objects

• Filter data by coordinates or attributes easily using pure Python

• Make press-quality and replicable maps from any data

• Download, transform, and use remote sensing data in your maps

• Make calculations to extract information from raster data and show the results on beautiful maps

• Handle massive amounts of data with advanced processing techniques

• Process huge satellite images in an efficient way

• Optimize geo-processing times with parallel processing

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

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€43.99

Geospatial Development By Example with Python

€41.99

Total € 129.97

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Winston Apr 04, 2016

Great book!!! This book takes the reader down a well structured path using Python to develop geospatial app. First the author has the reader download and install various Python packages like NumPy and Mapnik combined with multiple datasources to create fully-functional apps. Must read.

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ruben Apr 06, 2016

This is an excellent book for programming with Python very interesting book for users who want to get involve in the languange programming.Much more than simple scripts, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them.

Bill Jones Apr 08, 2016

Awesome book, well written, and structured nicely. I'm new to Python but in that regard I didn't care if it was 3 or 2.7 until I started to want to use other modules or play around with some libraries. So one of the reviews did mention that but I didn't have any issues with the content in this book. I would highly recommend this book if you want to do some Geospatial Development with Python.

Tim Crothers Apr 07, 2016

I really enjoyed this book. Prior I had a lot of experience with Python but only limited experience with various geospatial packages. By the end of the book I had a solid foundation for how to use several libraries I was unfamiliar with and how to apply them to various uses related to geospatial applications. Be aware the book is written in Python 2.7 so if you are a Python 3 developer you'll need to translate and many of the libraries aren't available yet in Python 3 so the value might be a bit less

Geospatial Development By Example with Python: Build your first interactive map and build location-aware applications using cutting-edge examples in Python

What do you get with eBook?