We need to have some documentation that gives a Python-familiar person:
[ ] an understanding of the purpose of the pipelines, following a standard cleanfile, la-agg, pan-agg approach (nothing needed for more than this, like analysis code or sufficiency outputs etc.)
[ ] an understanding of the structure of the code; what happens in what order; if a user was to create their own pipeline in this structure, what rough tasks would they do
[ ] an introduction to any libraries that aren't likely to be familiar to a data science-y Python user; what the library does in the context of the code, where a user can find more information about it
We need to have some documentation that gives a Python-familiar person: