This workshop introduces Python and Positron as tools for reproducible clinical study reporting and regulatory submission workflows. Participants explore an end-to-end approach to organizing projects, preparing tables, listings, and figures, and assembling electronic Common Technical Document packages. The session covers a modern Python toolchain that includes uv, polars, plotnine, and rtflite, alongside Positron’s data exploration capabilities. Updated from the previous year’s workshop, the content also considers recent AI workflows and package developments. Clinical programmers, statisticians, and data scientists gain a practical framework for connecting open-source data preparation, visualization, and reporting within a coherent clinical programming workflow.