In “Teaching Yourself to Code in DH,” Scott Weingart (Carnegie Mellon University) has compiled an annotated list of “book-length introductions to analytic programming in DH.”
Weingart invited participation via Twitter and a Google spreadsheet as part of a larger project collecting humanities research methodologies. He then culled the most relevant from these to form an annotated list that includes subsections for Historical Analysis; Literary & Linguistic Analysis; General Digital Humanities; Statistical Methods & Machine Learning; and Data Visualization, Web Development & Related.
This post was produced through a cooperation between Pamela Andrews, Pompilia Burcica, Brian Burns, Nickoal Eichmann-Kalwara, Allison Ringness, Megan Martinsen, (Editors-at-large for the week), Roxanne Shirazi (Editor for the week), and Caitlin Christian-Lamb, Caro Pinto and Patrick Williams (dh+lib Review Editors).
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