An undergraduate student who took the "Foundations of Spatial Data Science" course (Index 3), a module from the geocomputation suite previously referenced, is quoted on the KCL website describing the skillset gained as the most important learning of their entire university experience. Having since been employed in Data Science after completing their degree, they describe how "The Jupyter notebooks were fantastic and I regularly find myself referring back to them in my own work to find solutions." \cite{london}. This user's successful learning retention, repeated reuse of course material, and proven ability to transfer knowledge from academic to industry context corroborates the conclusion made by KCL's Department of Geography that Jupyter notebooks were the best means to enable the students in their geocomputation program to develop the target computational data skills \cite{Reades_2020}.