Four guided notebooks under notebooks/getting_started/ aimed at someone
new to Python and data science. The series progresses: project orientation
→ Python/pandas crash course → exploring one tracking DB → first
trained-vs-naive comparison using load_roi_data + Mann-Whitney U.
Each notebook leans heavily on markdown explanations, includes exercises
with empty cells, and links out to canonical references (JupyterLab,
official Python tutorial, pandas 10-min guide, Wikipedia for stats
concepts).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
