Contributed to TheAlgorithms/Python repository by enhancing the bubble sort utility’s reliability through the addition of comprehensive doctests targeting edge cases, specifically handling duplicate and already sorted inputs. This work increased test coverage and improved the correctness of the sorting algorithm, reducing the risk of regressions in future updates. The approach emphasized test-driven development and collaborative coding, as evidenced by co-authored commits and clear commit messaging. Utilizing Python and doctest-based testing, the developer focused on algorithm development and robust validation, ultimately supporting smoother onboarding for contributors and ensuring the maintainability and reliability of core sorting routines within the project.