https://github.com/flrs/predicting_the_wind
Data Science in Wind Resource Assessment Tutorial at PyData San Diego, March 2020
https://github.com/flrs/predicting_the_wind
binder binder-ready data-science gis jupyter-notebook presentation renewables tutorial wind wind-energy wind-energy-analytics wind-estimate wind-resource-assessment
Last synced: about 1 month ago
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Data Science in Wind Resource Assessment Tutorial at PyData San Diego, March 2020
- Host: GitHub
- URL: https://github.com/flrs/predicting_the_wind
- Owner: flrs
- License: mit
- Created: 2020-03-11T07:19:15.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-09-14T16:16:58.000Z (about 4 years ago)
- Last Synced: 2025-07-25T12:16:47.768Z (3 months ago)
- Topics: binder, binder-ready, data-science, gis, jupyter-notebook, presentation, renewables, tutorial, wind, wind-energy, wind-energy-analytics, wind-estimate, wind-resource-assessment
- Language: Jupyter Notebook
- Homepage: https://bndr.it/8dvdx
- Size: 149 MB
- Stars: 24
- Watchers: 2
- Forks: 8
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE