This section showcases a series of tutorials in Jupyter Notebooks—interactive Python code with explanatory text. The approaches and methods described in these notebooks may be too specific to become one of our main tools, but we hope these brief, interactive code snippets will point researchers toward productive ways of using EarlyPrint texts. In a nutshell, these notebooks will allow you to modify and run Python routines without needing to write the code yourself.
[n.b. Those who already have some familiarity with Python but who haven’t yet encountered Jupyter Notebooks might consult this Programming Historian tutorial, which explains the purpose and helpfulness of the notebook form.]