Bring your laptop to this hands-on workshop sponsored by the Pangeo project! Pangeo is first and foremost a community promoting open, reproducible, and scalable science. Participants will learn about Python and several open-source software packages for analytic workflows with big data in Earth Science. Particular emphasis will be given to Jupyter, Xarray, and Dask software libraries for analysis of multidimensional modeling and remote sensing data sets. In this half-day workshop, participants will familiarize themselves with writing code in Jupyter Notebooks that can be run on scalable computing clusters running on the Cloud, bypassing a common bottleneck of downloading ever-increasing volumes of remote sensing or modeling data. We will have both introductory tutorials and advanced examples used in peer-reviewed research in the fields of oceanography, hydrology, and solid earth geophysics. For those interested in building JupyterHub infrastructure for research groups we will also spend time explaining costs and how these computational resources can be deployed on local servers, HPC systems, or commercial Clouds.

Price

$75 (regular)/$40 (student)