Thisi book features material for an introductory Python course for undergraduate chemistry students.
- James Cumby
- Valentina Erastova
- Matteo Degiacomi
- Jasmin Güven
- Claire Hobday
- Antonia Mey
- Hannah Pollak
- Rafal Szabla
| Unit | Content Summary | Binder | Colab |
|---|---|---|---|
| 01 | An Introduction to algorithmic thinking and using Jupyter |  |
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| 02 | Variables (int, float, string), Lists, Dictionaries and Tuples in Python | |
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| 03 | Loops and conditional | |
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| 04 | Functions, Pandas, and basic IO | |
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| 05 | An introduction to plotting, units and statistics | |
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| 06 | comparing distributions, t-tests, and molecular geometries | |
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| 07 | Correlations in data and fitting data | |
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| 08 | Applications I | |
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| 09 | Applications II | |
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| 10 | Applications III | |
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