About this book#
Contributing#
If you’d like to contribute to this book, please start a discussion or raise an issue in the GitHub repository.
Citation#
If you use this material, please include the following citation: This book is currently under review in the Journal of Open Source Education, please check back later for a citation.
Acknowledgements#
This book is the product of many discussions and developments within the open-source community. All of the workflows demonstrates throughout these tutorials are made possible by open-source developers and maintainers. Below is a full list of all open-source libraries used in this book:
cf_xarray [9], Dask [56], Folium [57], GeoPandas [27], Holoviz [44], Jupyter Notebook [29], Matplotlib [6], NumPy [22], Pandas [50], Planetary_Computer [47], PyPROJ [46], SciPy [20], Shapely [18], RioXarray [45], Xarray [24], Zarr [39], Xvec, contextily, PySTAC, PySTAC Client, Rich, stackstac.
This book was made using Jupyter Book [10] which uses a number of tools developed by the Executable Books project.