In the fast-paced world of data science, the gap between experimental code and production-ready applications has long been a critical challenge. Data scientists often find themselves juggling between innovative analysis and the practical demands of maintainable, reproducible code – a balancing act that frequently leads to technical debt and deployment headaches. Kedro, an open-source Python…