Standard type hints fail the moment you touch a Pandas DataFrame. While you can label a variable as a table, you can't natively enforce that a 'Price' column stays positive or an 'ID' remains unique. Pandera solves this by bringing Pydantic-style validation to your data pipelines, allowing you to catch data drift and schema violations before they crash your production environment.