Barnabé Therond developed a Jupyter Notebook for the flipoyo/MOLONARI1D repository, focusing on polynomial regression analysis and synthetic data generation for hydraulic head differentials. Using Python and leveraging data analysis and machine learning techniques, Barnabé implemented functions to generate reproducible synthetic datasets, retrieve regression coefficients, and enhance visualization through improved plotting options. The notebook supports experimental workflows by enabling users to test and validate regression models on controlled data. While the work spanned one month and addressed a single feature, it demonstrated depth in applying polynomial regression and reproducible research practices within a scientific computing context, without addressing bug fixes.