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The content is developed as part of the **GEOG 213/313 Advanced Geospatial Analytics with Python** course taught at Clark University by Dr. [Hamed Alemohammad](https://hamedalemo.github.io/). \n\n## Usage\n\nAll the content in this book is published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license which in simple terms means you can use the content in any work by citing the source. \n\n## Contribute\n\nIf you use the book content and want to contribute to it, or simply want to report a bug or error please submit an issue in this repo. \n\n## Note to Developers\n\n### Building the book\n\nIf you'd like to develop and/or build the Advanced Geospatial Analytics with Python book, you should:\n\n1. Clone this repository\n2. Run `pip install -r requirements.txt` (it is recommended you do this within a virtual environment)\n3. (Optional) Edit the books source files located in the `advanced-geo-python/` directory\n4. 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For example, if you chose `github` for the `include_ci` cookiecutter option, your book template was created with a GitHub actions workflow file that, once pushed to GitHub, automatically renders and pushes your book to the `gh-pages` branch of your repo and hosts it on GitHub Pages when a push or pull request is made to the main branch.\n\n\n## Credits\n\nThis book is created using the excellent open source [Jupyter Book project](https://jupyterbook.org/) and the [executablebooks/cookiecutter-jupyter-book template](https://github.com/executablebooks/cookiecutter-jupyter-book).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhamedalemo%2Fadvanced-geo-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhamedalemo%2Fadvanced-geo-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhamedalemo%2Fadvanced-geo-python/lists"}