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Amazing stuff, guys!
I'd only suggest a more telling subtitle: instead of Developer #lifehacks for the Jupyter Data Scientist
probably something like How you should organize your data science project
or How to better organize your data science project
We generally send people to https://drivendata.github.io/pydata-setup/ in order to get their machines running. The .env files linked there don't include some of the dependencies we need for this project (e.g., engarde, tqdm).
Should be pretty easy just using an assert like the second to last cell here:
https://github.com/drivendata/data-science-is-software/blob/master/notebooks/labs/3.0-refactoring-solution.ipynb
Explain how to make parse-able doc strings
Section 4.2
No home for this yet, see section 3.9 here:
https://github.com/pjbull/data-science-is-software/blob/master/notebooks/data-science-is-software-talk.ipynb
Loved especially your cookie cutter ds templatate. :)
Suggestion for future recorded talks: repeat questions into the mic.
The requirements.txt
file has duplicate listings. eg: jupyter, ipython.
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