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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783281138
Length 364 pages
Edition 1st 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 (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python 2. Geospatial Data FREE CHAPTER 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modelling 9. Real-Time Data 10. Putting It All Together Index

Installing third-party Python modules

We'll make a distinction between modules which are included as part of Python's standard library and modules which must be installed. To install libraries, you either get them from the Python Package Index (PyPI) or in the case of a lot of geospatial modules, you download a specialized installer. PyPI acts as the official software repository for libraries and offers some easy-to-use setup programs which simplify installing packages. You can use the easy_install program which is especially good on Windows or the pip program more commonly found on Linux and Unix systems. Once installed, you can install third-party packages simply by running:

easy_install <package name>

Or for pip you run:

pip install <package name>

Links will be provided to installers and instructions for packages not available on PyPI. You can manually install third-party Python modules by downloading the Python source code and putting it in your current working directory...

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