Data Cleaning with Pandas
A reproducible workflow for normalizing, parsing, validating, and reporting tabular data.
A reproducible workflow for normalizing, parsing, validating, and reporting tabular data.
Organize AI coding agents in persistent terminals while keeping state detection, session restore, and process persistence distinct.
A defensive ingestion workflow for tabular files and external data.
Use repository directories, AGENTS.md, architecture notes, and tests instead of private helper projects or heavy chat context.