Data Driven Chemistry
Contents
Data Driven Chemistry#
Thisi book features material for an introductory Python course for undergraduate chemistry students.
Content:#
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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