This repository contains guidelines and tooling for the data science curriculum.
See the structure-and-style directory for information about the different types of lessons in the DS curriculum as well as the curriculum writing style guidelines.
All curriculum development work is done on the curriculum branch, then you use the branch splitter to copy the appropriate content to the master (and sometimes solution) branch. See the master-solution-branch-splitter directory for source code and instructions.
Sometimes it is useful to be able to clone and execute all of the code in the curriculum (e.g. when you are testing out a new conda environment). The testing-code directory contains code and instructions for doing this.