Each course included uses Jupyter to teach computation data tools and methods, which make up a significant proportion of course syllabus, but is unmistakably a means to an end and thus the overall purpose of said technical content is its' application to Humanities, Social Science, and Arts topics. This criteria therefore rules out several Jupyter-based teaching that have either too small-scale computational data focus (such as UC Berkeley courses under the deliberate strategy of initial small-scale Data Science integration \cite{berkeley}), as well as full-scale Data Science courses where computational data practices are the end goal.