Using Jupyter Notebooks to tell data stories and create reproducible workflows

Science Center Objects

Increasingly, USGS scientists seek to share and collaborate while working on data and code. Furthermore, these scientists often require advanced computing resources. Jupyter Notebooks are one such tool for creating these workflows. The files are interactive, code “notebooks” which allow users to combine code and text in one document, enabling scientists to share the stories held within their da...

Increasingly, USGS scientists seek to share and collaborate while working on data and code. Furthermore, these scientists often require advanced computing resources. Jupyter Notebooks are one such tool for creating these workflows. The files are interactive, code “notebooks” which allow users to combine code and text in one document, enabling scientists to share the stories held within their data. Recently, USGS launched an instance of Pangeo—a community platform for Big Data geoscience—as a tool for internally hosting and executing these notebooks. Few examples exist on how to use Pangeo and no formal documentation exists for USGS scientists to use Pangeo. We will create and curate examples of using Jupyter Notebooks with Pangeo from across USGS, using an interdisciplinary team to test notions of interoperability and reusability.