Computational Notebooks Resources

A list of interesting / useful notebooks and other things

Basic Skills

We are going to use Jupyter Notebooks in this class. For a global overview of how Jupyter notebooks work and are used in humanities research, see Quinn Dombrowski’s lesson in The Programming Historian. The links below go to either live notebooks that you can work through, or guide you through some of the same steps that Dombrowski discusses, but with more detail.

Retrieve and Visualize Data

Retrieving data

If the data is already made available on the open web, and it’s in a reasonable format (json or csv) then it’s not too difficult a task.



  • Building an API with Datasette

  • Building a documentation website with Mkdocs

    • MKDocs is a python module that will turn a folder with markdown documents into a functioning website


For when you’re ready/inclined to push things further.

Ottawa Datasets


Libraries & Archives


  • Canadian Museum of History

  • Ingenium Museum Network

    • Open data
      • All artifacts in the collection of the Canada Agriculture and Food Museum, Canada Aviation and Space Museum and the Canada Science and Technology Museum
      • Available in XML or CSV