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Clean Code for Data Scientists // Matt Sharp // # 160

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How to Get Out of Jupyter Notebooks as Quickly as Possible

DF: I like to use Jupyter notebooks because they are powerful. You can iterate really quickly, you can go through, and you can get things. The problem is how you write at different stages of using that tool. So while writing module code is a little bit more important when you're writing production level code, do you think it's equally as well when you're doing exploration? Or do you think the cell code is okay once we're in an exploratory shape with our data? We'll be back next week for another episode of Data Science Boot Camp.

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