From the resource:
Jupyter notebooks have seen enthusiastic adoption in the data science community, to an extent where they are increasingly replacing Microsoft Word as the default authoring environment for research. Within digital humanities literature, one can find references to Jupyter notebooks (split off from iPython, or interactive Python, notebooks in 2014) dating to 2015.
Jupyter Notebooks have also gained traction within digital humanities as a pedagogical tool. Multiple Programming Historian tutorials such as Text Mining in Python through the HTRC Feature Reader, and Extracting Illustrated Pages from Digital Libraries with Python, as well as other pedagogical materials for workshops, make reference to putting code in a Jupyter notebook or using Jupyter notebooks to guide learners while allowing them to freely remix and edit code. The notebook format is ideally suited for teaching, especially when students have different levels of technical proficiency and comfort with writing and editing code.