A Python command-line pipeline that validates incoming rows, writes valid output, records rejected rows in a useful validation report, and returns clear exit codes. View the working code and tests on GitHub.

A public interactive learning exercise for annotating a data pipeline review. Visitors can write, highlight, type notes, save and reopen work, and export their annotated page. It demonstrates the user experience without exposing private implementation details.

An early document-based learning assistant experiment. The repository records the current design and next implementation steps; it is labeled in progress so employers can distinguish planned features from working code.