Scaling Reproducible Research with Jupyter

C8eedb2bca5728f0f73294b5b5a0222e?s=47 Carol Willing
October 15, 2019

Scaling Reproducible Research with Jupyter

Keynote at ECMWF Workshop on Building Reproducible Workflows for Earth Sciences. Reading, UK. #REPWORK19 Looking through the lens of weather forecasting, the keynote discusses tools, processes, and communication that help scale reproducible research. Examples from Project Jupyter include Jupyter Notebook, JupyterLab, JupyterHub, BinderHub, and Binder service. Additional examples from the nteract project, Python, Dagster, and Pangeo.

C8eedb2bca5728f0f73294b5b5a0222e?s=128

Carol Willing

October 15, 2019
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