carpentries-lab/python-aos-lesson
Fork: 50 Star: 88 (更新于 2024-11-18 17:29:09)
license: NOASSERTION
Language: Python .
Python for Atmosphere and Ocean Scientists
最后发布版本: v1.3.0 ( 2024-07-24 19:33:27)
Python for Atmosphere and Ocean Scientists
This repository contains the Data Carpentry lesson materials for a single day workshop on using python (and git) in the atmosphere and ocean sciences: https://carpentries-lab.github.io/python-aos-lesson/
The lessons are maintained and updated by the global community of qualified Carpentries instructors who work/study in the atmosphere and ocean sciences (see below). The lead maintainers are:
- Damien Irving, @DamienIrving
- Claire Trenham, @hot007
- Sarah Murphy, @sarahymurphy
The lesson materials have been used in the following workshops and university courses:
- Data Carpentry workshop at the British Antarctic Survey, January 2024
- Data Carpentry workshop at the 2022 ICSHMO conference, February 2022 (see in-person and online workshops)
- AMS Python Short Course, March 2021 (see video recording)
- Data Carpentry workshop at the 2021 AMOS Conference, February 2021 (access video recording with password: AMOS_DCW2021)
- Software Carpentry workshop at the NOAA National Ocean Service, December 2020
- Data Carpentry workshop at Woods Hole Oceanographic Institution, October 2020
- Data Carpentry workshop at the 2020 AMOS Conference, February 2020
- Data Carpentry workshop at the 2019 AMOS Conference, June 2019
- Data Carpentry workshop at the Australian Bureau of Meteorology, May 2019
- Changing Global Environments, 3rd year undergraduate subject, University of Wollongong, Semester 2, 2018
- Data Carpentry workshop at Woods Hole Oceanographic Institution, August 2018
- Data Carpentry workshop at the 2018 AMOS Conference, February 2018
An overview of the development of the lesson materials and plans for the future was delivered during the Python Symposium at the 2020 Annual Meeting of the American Meteorological Society (see video recording).
Instructor community
Over the past few years, research disciplines such as ecology and genomics have established large communities of qualified Carpentries instructors. These communities collaboratively contribute to the ongoing maintenance and development of the Data Carpentry ecology and genomics lesson materials and have delivered dozens of workshops around the world.
Now that an initial set of PyAOS lesson materials has been developed, tested and published, the goal is to grow the PyAOS instructor community:
- Damien Irving (Climate Science Centre, CSRIO)
- Claire Trenham (Climate Science Centre, CSIRO)
- Sarah Murphy (Washington State University)
- Holger Wolff (ARC Centre of Excellence for Climate Extremes, Monash University)
- Kathy Pegion (Department of Atmospheric Oceanic and Earth Sciences, George Mason University)
- Elizabeth Dobbins (College of Fisheries and Ocean Sciences, University of Alaska Fairbanks)
- Alma Castillo (Scripps Institution of Oceanography, UC San Diego)
- Romina Mezher (Instituto Nacional de Tecnología Agropecuaria)
If you work or study in the atmosphere and ocean sciences and would be interested in getting involved, please reach out by creating an issue in this repository.
最近版本更新:(数据更新于 2024-08-31 13:54:42)
2024-07-24 19:33:27 v1.3.0
2021-06-10 05:12:20 v1.2.0
2019-06-21 10:03:05 v1.1.0
2019-01-22 06:35:29 v1.0.0
主题(topics):
atmospheric-science, beta, carpentries, data-carpentry, data-visualisation, english, geoscience, geospatial, geospatial-data, git, lesson, peer-reviewed, programming, python, version-control, versioning
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