Python Pangeo-inspired notebooks for teaching and research in Geoinformatics and Earth Sciences/ML
Landscape Geoinformatics - Alex Kmoch
https://mybinder.org/v2/gh/LandscapeGeoinformatics/pangeobinder2022a/HEAD?labpath=index.ipynb
https://hub.docker.com/r/allixender/pangeobinder2022a/tags
docker pull allixender/pangeobinder2022a:latest
Adapted by Alexander Kmoch and Evelyn Uuemaa
We hope that the materials provided here would be helpful for others. Thus, we share all the lesson materials openly, and also our source codes and lesson materials are openly available.
These materials and code snippets are licensed with Creative Commons Attribution 4.0 International licence and MIT license.
Compare with fixed package versions from Pangeo images, e.g. Dask, to avoid incompatibilities (like numpy<>datashader)
Currently no deep-learning is considered here, mostly base geospatial/gis
- odc-stac
- s2geometry (with swig python bindings)
- python-language-server
- jupyter-panel-proxy (not sure if needed)
- formatting and testing (black, pytest)
- pangeo-ml image (tbc), lightgbm