Course Materials for an Introduction to Data-Driven Chemistry

Jupyter Notebook Python Submitted 14 January 2023 • Published 20 May 2023
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Authors

James Cumby (0000-0002-9499-3319), Matteo T. Degiacomi (0000-0003-4672-471X), Valentina Erastova (0000-0002-6747-3297), J. Jasmin Güven (0000-0003-1555-0075), Claire L. Hobday (0000-0003-4925-4557), Antonia S. j. s. Mey (0000-0001-7512-5252), Hannah Pollak (0000-0003-1011-8478), Rafal Szabla (0000-0002-1668-8044)

Citation

Cumby et al., (2023). Course Materials for an Introduction to Data-Driven Chemistry. Journal of Open Source Education, 6(63), 192, https://doi.org/10.21105/jose.00192

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ISSN 2577-3569