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humanities-python-tour

Two hour tour of Python materials for Humanists and other text oriented practices.

REPL link

Associated link preloaded with the data: https://repl.it/@elliewix/Pettigrewblank

You can make an account and follow along with the lesson without installing anything.

History

Originally crafted for DHOxSS 2017 and stored in a separate repo: https://github.com/elliewix/HumDataCarp.

This lesson is designed to run in a comfortable 2 hours with live coding and interaction.

The goal of this lesson is to provide a guided tour of:

  • how Python can be valuable in exploring text
  • what scripts are
  • what it looks like to run and execute code
  • how to think about approaching a reseach programming task in this space
  • essential vocabulary around code and Python

Learners will have a better understanding of what kinds of questions Python can answer, and get a realistic experience of knowing what it means to code. This is not meant to be a tutorial to programming or CS, but should provide a great foundation for someone to make an informed choice about pusuing programming education and for any subsequent coursework.

License

CCBY

Please tell me if you use this because I like to know!

Contributions

Always feel free to file an issue to report a problem or ask a question. PRs are also welcome if you are comfortable with that.

Attribution

Attribution for the data used in this lesson:

Transcribed by Gabriel Moshenska ([email protected]) and released under a CC-By license. This data is further described in the following data paper: Moshenska, G. 2012. Selected Correspondence from the papers of Thomas Pettigrew (1791-1865), Surgeon and Antiquary. Journal of Open Archaeology Data 1(2), DOI: http://dx.doi.org/10.5334/4f913ca0cbb89

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Two hour tour of Python materials for Humanists and other text oriented practices

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