# Proposed integration checklist

This folder is a content handoff, not a deployed site. Import the syllabus, ordered lessons, exercise boundaries and separate solutions without merging answers into practice by default. Preserve relative asset links and code downloads. The offline guide works as static content; it does not provide Python execution, completion tracking or certification.

Before publication: validate course routes, navigation, fonts/contrast/reflow, keyboard and screen-reader access, mobile layout, source links and downloadable ZIP. Provide an actual CPU PyTorch runtime or clearly retain the local-runtime route. Do not claim the existing browser Python lab supports PyTorch without testing it. Validate installation on supported OS/architectures, run a novice pilot and adjust pacing. Recheck framework security/version recommendations before updating dependency pins; rerun all numerical tests after an update.

Publishing, sharing beyond the user and changing live website files remain separate actions. No live platform has been modified by this package.