index.qmd

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description-meta: |
  This book will teach you how to work with geographic data in Python.
  It's a short and practical open source book in which you'll
  develop and use geocomputation to solve practical
  problems and lay the foundations for advanced geospatial applications.
---

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# Welcome {.unnumbered}

This is the online home of *Geocomputation with Python*, a book on reproducible geographic data analysis with open source software.

**Note**: The book has been published in the [Chapman & Hall/CRC The Python Series](https://www.routledge.com/Chapman--HallCRC-The-Python-Series/book-series/PYTH).
You can buy the book from [publisher](https://www.routledge.com/Geocomputation-with-Python/Dorman-Graser-Nowosad-Lovelace/p/book/9781032460659), or [Amazon](https://www.amazon.com/Geocomputation-Python-Chapman-Hall-CRC/dp/1032460652/).

Inspired by the Free and Open Source Software for Geospatial ([FOSS4G](https://foss4g.org/)) movement this is an *open source book*.
Find the code underlying the *geocompy* project on [GitHub](https://github.com/geocompx/geocompy), ensuring that the content is reproducible, transparent, and accessible.
Making the book open source allows you or anyone else, to interact with the project by opening [issues](https://github.com/geocompx/geocompy/issues), making typo fixes and more, for the benefit of everyone.

The book's website is built by GitHub Actions, which runs the code every time we make a change, ensuring code correctness and reproducibility.
The current build status as follows:

[![](https://github.com/geocompx/geocompy/actions/workflows/main.yaml/badge.svg)](https://github.com/geocompx/geocompy/actions/workflows/main.yaml)

You can run the code in the book using GitHub CodeSpaces as follows (requires a GitHub account):

[![](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=447558863)

For details on reproducing the book, see the README in the project's GitHub repo: <https://github.com/geocompx/geocompy>.

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