Worked on strengthening the lamberts_ellipsoidal_distance utility in TheAlgorithms/Python repository by introducing strict input validation for latitude and longitude values. This update focused on improving the robustness of geospatial distance calculations by ensuring only valid coordinate ranges are processed, thereby reducing the risk of erroneous results in mapping and analytics workflows. The solution was implemented in Python, leveraging error handling techniques and comprehensive unit testing, including doctests to verify input handling and error messaging. Code quality and maintainability were further supported through pre-commit hooks, which automated formatting fixes and enforced consistent standards across the updated geospatial analysis codebase.