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Re:Why Jupyter is data scientists’ computational notebook of... by cwyers on Tuesday October 30, 2018 @12:46PM (#18338618)
It depends on what you're doing, yeah? In RMarkdown notebooks... yeah, I wouldn't write models in one. But if the focus is on embedding some visualizations and tables into a document, and then refreshing the document to every so often pull in new data, I can see that as a production use for a notebook. TL;DR: Can be useful for reporting, wouldn't use it anywhere else in the pipeline.

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