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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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Product type Paperback
Published in Sep 2019
Publisher
ISBN-13 9781789959277
Length 456 pages
Edition 3rd Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (15) Chapters Close

Preface 1. Section 1: The History and the Present of the Industry FREE CHAPTER
2. Learning about Geospatial Analysis with Python 3. Learning Geospatial Data 4. The Geospatial Technology Landscape 5. Section 2: Geospatial Analysis Concepts
6. Geospatial Python Toolbox 7. Python and Geographic Information Systems 8. Python and Remote Sensing 9. Python and Elevation Data 10. Section 3: Practical Geospatial Processing Techniques
11. Advanced Geospatial Python Modeling 12. Real-Time Data 13. Putting It All Together 14. Other Books You May Enjoy

Python virtualenv

Python geospatial analysis requires that we use a variety of modules with many dependencies. These modules often build on each other using specific versions of C or C++ libraries. You often run into version conflicts as you add Python modules to your system. Sometimes, when you upgrade a particular module, it might break your existing Python program due to changes in the API – or maybe you are running both Python 2 and Python 3 to take advantage of libraries written for each version. What you need is a way to safely install new modules without corrupting a working system or code. The solution to that issue is to use Python virtual environments through the virtualenv module.

The Python virtualenv module creates isolated, individual Python environments for each project so that you can avoid conflicting modules polluting your main Python installation. You...

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