The shared TSV at /mnt/data/projects/cupido/ is read-only inside the
container, so users who want to customize the `include` column (or any
metadata) need a personal copy. Notebooks now check for
~/cupido_metadata.tsv first and fall back to the shared master if it
doesn't exist. Each user keeps their own edits without stepping on
anyone else's analysis.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Notebooks now use Path.home() / "cupido" for the repo root (works for
any user inside the JupyterLab container), and the offline-tracking
scripts read the ethoscope source-tree location from the new
ETHOSCOPE_SRC config constant — defaulting to ~/Code/ethoscope_project/...
and overridable via the ETHOSCOPE_SRC environment variable.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Consolidates everything bulky (tracking DBs, targets, metadata
spreadsheet) under a single DATA_VOLUME root outside the ownCloud-synced
repo. Notebooks now use a visible DATA_DIR = Path(...) idiom rather than
walking up the filesystem with PROJECT_ROOT.parent — easier for students
with no Python background to follow.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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>
