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                                            Amy Wooding

Create environment with lock file?

Don't fix this quite yet. This produced the wacky jupyter conda kernel bug.

Dataset hashes can change with package upgrades

Possible references: - https://stackoverflow.com/questions/31567401/get-the-same-hash-value-for-a-pandas-dataframe-each-time#47800021 - http://drorata.github.io/posts/2017/May/26/when-trying-to-hash-a-data-frame/index.html Example: In https://github.com/acwooding/ReproAllTheThings, we get different hashes with pandas==1.0.5 and pandas 1.3.2 on MacOS.

Including optional testing infrastructure for notebooks (and CI boilerplate in general)

what about the revision control issue (for notebooks, checking in output makes diffs insane...I suppose that's why you use notebook-based `git diff` which we also have installed)? Also, what about...