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I don’t do data science and I really don’t understand what Jupyter notebooks are used for. Are they just a way to explore ideas with immediate feedback?

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You can publish them on github or mybinder as persistent self documenting interactive repl sessions. Then others can see what the code did, the intermediate results, and can easily play with it.

(No "data science" here either, but into repl based instant feedback development & collaboratiove programming tools)

Oh, very cool. Sounds like something I’d love to use. I always loved the Clojure REPL.

Notebooks also inline visualizations more naturally than the repl, which makes them really nice for the data analysis workflow.

Fun fact: you can use Clojure with Jupyter: https://github.com/clojupyter/clojupyter

(Jupyter supports "kernels" and there are also more non-Python language kernels that you can use)

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