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://carpentrieslab.github.io/python-aos-lesson/
The lesson materials were initially written by Damien Irving based his experience teaching generic Software Carpentry workshops at the annual conference of the Australian Meteorological and Oceanographic Society (AMOS) from 2014-2017. They are now maintained and updated by the global community of qualified Carpentries instructors who work/study in the atmosphere and ocean sciences (see below).
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).
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:
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.