wooby

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in reply to @wooby's post:

imagine u wanted to write a python script, but certain setup things would take a long time every time u run it, but the part ur debugging comes after that setup. also u can plot lots of graphs without having to deal with too much matplotlib weirdness. this is what i like using Jupyter for

It's more like an interactive notebook.

You start typing some text, add a cell and write some python code to do data consumption + slicing&dicing, and print out the result.

Optionally also generate plots that will immediately gets embedded into the notebook.

Whenever you have new data just "re-run" the notebook and it will auto-update everything.

Or maybe you decide to change the analysis method, just rewrite the relevant cell with the new method, re-run and the new results will cascade through your notebook.

When all's done you can export the notebook and finish the formatting in your favourite word processor or desktop publisher.