SciCompforChemists

SciCompforChemists

weisscharlesj

Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, and scikit-learn.

268 Stars
88 Forks
268 Watchers
Jupyter Notebook Language
other License
Cost to Build
$3.45M
Market Value
$10.95M

Growth over time

4 data points  ·  2022-07-01 → 2025-07-01
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What is the weisscharlesj/SciCompforChemists GitHub project? Description: "Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, and scikit-learn.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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