Christian Vedel focused on improving the stability of Jupyter Notebook workflows in the ess-dmsc-dram/dmsc-school repository. He addressed a critical bug affecting the import of the Parameter class from the easyscience library, which previously caused execution errors across multiple notebooks. By updating the import statement to reference easyscience.Objects.variable instead of easyscience.Objects.new_variable, Christian ensured more reliable notebook execution and a smoother onboarding process for data scientists. His work, implemented using Python and Jupyter Notebook, demonstrated careful attention to cross-notebook compatibility and maintainability, though it was limited in scope to a single, high-impact bug fix during the reported period.