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Harnessing the Power of Scientific Python to Investigate the Biogeochemistry of the Central Pacific Ocean


The Central Pacific Ocean is a looking glass into both the past and future ocean. The recent ProteOMZ expedition provides >6 million datapoints on the distribution of microbial proteins in this region, coupled with >6000 chemical and physical measurements. We demonstrate our approach to analysis of this multivariate data using the Pandas, Scikit-learn, Biopython, Bokeh, and METATRYP Python tools. We found interactivity to be key in human lead pattern discovery. We discuss challenges and solutions to piecing together multiple data types and Python tools, and discuss our experience as scientists learning to apply Python packages in our research.Presenter(s): Speaker: Noelle Held, Woods Hole Oceanographic Institution/Massachusetts Institute of Technology Speaker: Jaclyn Saunders, Woods Hole Oceanographic Institution Speaker: Joe Futrelle, Woods Hole Oceanographic Institution Speaker: Mak Saito, Woods Hole Oceanographic Institution


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