Project Structure

I would like to defer this discussion to the discussion presented by Cookie Cutter Data Science. The template that I use for my blank_project repository borrows from their template.

The key take-aways from the Cookie Cutter Data Science project structure discussion are these:

• Other people will thank you

• You will thank you

• Data is immutable (pull fresh when you can)

• Analysis is a DAG (build system)

• “Build from the environment up” (Use a virtual environment and start sparse)

• Keep secrets out of version control. Use .env files.