Walsh, instructor of the Introduction to Cultural Analytics: Data, Computation, and Culture course (Index 6), details in her blog about her pedagogical experience and thoughts on notebooks and the wider Jupyter ecosystem \cite{python}. A general fan of this technology, she chose to create and publish most of the code for her classes as Jupyter notebooks. Walsh helpfully has a section in her course textbook, which she in fact created with Jupyter Book, entitled "Some of Jupyter's Nice Features", in relation to using notebooks for learning and teaching; here she highlights the technology's visually accessible data display, in-document visualization of data, and being able to mix executable code, text, images, and links \cite{notebooks}
In addition, Walsh explains the learning benefits for both course students but also beyond, enabled by the set-up she has put in place: "Publishing this code online allows students to reference and return to the material covered in class, but it also allows people who are not enrolled in the class...to learn and follow along, too. There's a big appetite for learning these computational skills, especially among people from humanities disciplines who have minimal or non-traditional programming education and experience. So these materials are an important resource for the whole community." \cite{python}. There are evidently a variety of pedagogical advantages for Walsh that are made possible by her choice to use Jupyter notebooks as the core learning environment for her course material.