Sam Hames

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Humanities Data Analysis: Case Studies with Python

Humanities Data Analysis: Case Studies with Python is a practical guide to data-intensive humanities research using the Python programming language.

I was excited to see a section title called "Modeling and Data Representation" - and then disappointed to see that section is actual about vector space and other representations of text. The actual data related content focuses mostly on reading data that has been structured and prepared by other people, and glosses over the very important (to me at least) step of data modelling as an interpretive act.

Nevertheless, it looks like a useful resource - and the focus on data carpentry style approaches in an open source Jupyter Book format is really nice. I would happily recommend this to people.


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