Worked on enhancing the stability of the Polars Python integration by addressing schema initialization issues in the pola-rs/polars repository. Focused on refining the input processing logic to robustly handle cases where schemas are empty or inputs are not mappings, thereby preventing type errors during data ingestion. This involved refactoring the schema initialization process in the py-polars library to align more closely with expected data structures, reducing the risk of runtime failures. Utilized Python and data engineering principles to improve library reliability, establishing a safer foundation for downstream schema usage and contributing to the overall robustness of the integration.