DOI DOI

Python for Atmosphere and Ocean Scientists

The repository contains the Data Carpentry lesson materials for a single day workshop on using python (and git) in the atmosphere and ocean sciences: https://carpentrieslab.github.io/python-aos-lesson/

The lesson materials were written by Damien Irving based on experiences from teaching generic Software Carpentry workshops at the annual conference of the Australian Meteorological and Oceanographic Society (AMOS) from 2014-2017.

The lesson materials have been used in the following workshops and university courses:

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 Change Research Centre, University of New South Wales)
  • 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)
  • Claire Trenham (Climate Science Centre, CSIRO)

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.

Python Aos Lesson

Python for Atmosphere and Ocean Scientists

Python Aos Lesson Info

⭐ Stars 40
🔗 Source Code github.com
🕒 Last Update 8 months ago
🕒 Created 3 years ago
🐞 Open Issues 10
➗ Star-Issue Ratio 4
😎 Author carpentrieslab