Extracting Metadata from Jupyter Notebooks
presentation
posted on 2019-01-30, 17:48 authored by Sean GordonSean Gordon, Keith MaullKeith Maull, Benjamin GalewskyBenjamin GalewskyResults from an ESIP FUNding Friday grant to automatically analyze Jupyter notebooks found on GitHub. We developed a Mongo Database to hold notebooks and created extraction jobs to find imported libraries, referenced URLs and the content of Markdown Headers. The presentation was given during the session "Completing the Earth Science Cookbook" at the Earth Science Information Partners (ESIP) Winter Meeting in January 2019.
Funding
ESIP Federation Platform: Enabling Cross-Community Connections to Extend NOAA Earth Science Data, Services and Stewardship Innovation
National Oceanic and Atmospheric Administration
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