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Jupyter provides an environment for interactive, browser-based “notebooks” for executing code, typically, in Python and for Data Science/Analytics. This talk describes how to make a stable, reproducible, cloud-hostable environment for Jupyter notebooks.
Recorded at JPS Events at The Regions Tower in Indianapolis, IN on 10/11/2019
IndyPy's PyData Indy 2019
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