Implementing paths in Visualizing Data with Bokeh and Pandas #1662
Description
At British Library we frequently choose Programming Historian tutorials for our staff Hack & Yacks each month because they offer awesome and accessible intros to advanced digital topics. This was the latest a room of over 25 BL curators tackled--great tutorial and many thanks to the author! One place where things got muddled for us though was what follows the miniconda install. There are really two paths one can take at the "Running Code Examples" point, either proceed and do all the coding by hand or run the Jupyter notebook provided, but this isn't made very clear in the text and folks started writing .py files and such and then trying to open the Jupyter notebook. Just got a bit confused. For our group, the majority found the Jupyter notebook especially helpful as they're beginners and just wanted to get a sense of how the code all operates it, rather than write it from scratch. So just a suggestion that the lesson could benefit more learners by clearly offering these two different routes available to them. Cheers!