Description
Python applications can manage typed configuration with Pydantic models instead of loose dictionaries or ad hoc parsing. It is useful for developers who want validation and structured settings in application code.
Configuration libraries influence defaults, environment variables, and error handling. Test real deployment settings so missing or invalid values fail in a clear way.