Why Jupyter is data scientists’ computational notebook of choice

Re:Why Jupyter is data scientists’ computational notebook of... by cbkeller on Tuesday October 30, 2018 @05:02PM (#18341249)

> many academic scientists have not been socialized to make a distinction between development and production environments

Geologist here - definitely true in my field. Nonetheless, while I don't develop in notebooks at all, I do use them for "reproducibility" in a sense -- by putting a bit of dependency info in a github repo along with a .ipynb file, I can do things like this: https://mybinder.org/v2/gh/brenhinkeller/Chron.jl/master?fil...

Which ends up being useful when a lot of folks in my field don't do any computational work at all, so being able to just click on a link and have something work in browser is a big help.

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Re:Why Jupyter is data scientists’ computational notebook of... by Insanity on Wednesday October 31, 2018 @07:40AM (#18344852)

Don't know if it is something you actively need, but the image did not load for me. (Even after re-evaluating the cell).

The image after: "For example (KJ04-70)"

(I also re-ran the preceding cells).

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Re:Why Jupyter is data scientists’ computational notebook of... by cbkeller on Thursday November 01, 2018 @12:20AM (#18351430)

Thanks for the tip! Interestingly enough, this appears to be browser-dependent. Apparently including a pdf in notebook markdown using an img tag like

works in Safari but not Chrome or Firefox. Switched to SVGs for now.

So much for reproducibility :/

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