Unidata developer Ryan May is a co-PI on a recently-awarded grant by the National Science Foundation's EarthCube program. The grant, which brings together collaborators from Unidata, NCAR's Computational & Information Systems Laboratory (CISL), NCAR's Climate and Global Dynamics Laboratory (CGD), and the University at Albany, SUNY, funds Project Pythia: A Community Learning Resource for Geoscientists.
Project Pythia aims to provide web-accessible training to help current and future geoscientists understand and use the ever-expanding volume of numerical scientific data. The project will leverage Jupyter Notebooks as the primary delivery mechanism for training examples, curricula, and as an interactive computing platform. The content for Project Pythia will be hosted on GitHub and maintained using an Open Development model that will facilitate and encourage contributions from a broad user community, as well as help ensure the long-term sustainability of the project.
May explains that Unidata's role in the project will be to contribute meteorology-focused content (leveraging Unidata's MetPy software package) and to help with teaching workshops. “I see the project as building a community-curated portal of resources (Jupyter notebooks) on using Python not just for meteorology, but for the wider Climate and Atmospheric Science community,” he says.
Additional details on Project Pythia are available from NCAR CISL: CISL, CGD, Unidata and SUNY Albany win EarthCube grants