Don’t Hate Yourself Later: Coding Best Practices for DH

Web scraping in Python? Crunching numbers in R? Make sure you (and others!) can understand and reuse your code! In this workshop, we’ll cover some language-agnostic best practices for coding, including writing effective documentation, producing readable code, working towards modular programming, and choosing appropriate data structures. Previous exposure to a programming language such as Python, Java, MATLAB, or R may be helpful, but isn’t required.

INSTRUCTOR BIO
Gavi Levy Haskell (they/she) is the DH Developer in Computational Methods and Data. Gavi has worked in museum technology at the Harvard Art Museums, and taught workshops on pedagogy at Yale’s CTL. They hold an MA in the history of art from the Courtauld Institute of Art and a BA in art history and computer science from Smith College, and are currently finishing their PhD here at Yale.

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