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https://unidata.github.io/python-training/
Notebooks teaching Python for use meteorology and atmospheric and climate sciences.
https://unidata.github.io/python-training/
hacktoberfest meteorology
Last synced: 3 months ago
JSON representation
Notebooks teaching Python for use meteorology and atmospheric and climate sciences.
- Host: GitHub
- URL: https://unidata.github.io/python-training/
- Owner: Unidata
- License: bsd-3-clause
- Created: 2019-07-19T20:28:51.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-09-09T17:27:38.000Z (4 months ago)
- Last Synced: 2024-09-09T21:39:22.292Z (4 months ago)
- Topics: hacktoberfest, meteorology
- Language: Jupyter Notebook
- Homepage: https://unidata.github.io/python-training
- Size: 823 MB
- Stars: 125
- Watchers: 17
- Forks: 69
- Open Issues: 65
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-earthobservation - Unidata python training resources - This site is meant to be a one-stop website for learning how to use Python for earth-science education and research for any experience level. (Software and saas / Jupyter based training resources)
README
Welcome to Unidata's Python Training Site for atmospheric science and meteorology. This site is meant
to be a one-stop website for learning how to use Python for earth-science education and research
for any experience level. You can visit the site at
[unidata.github.io/python-training](https://unidata.github.io/python-training)!