weisscharlesj / SciCompforChemists

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.

Date Created 2020-08-05 (4 years ago)

Commits 259 (last one 5 days ago)

Stargazers 251 (1 this week)

Watchers 11 (0 this week)

Forks 83

License unknown

Ranking

RepositoryStats indexes 630,031 repositories, of these weisscharlesj/SciCompforChemists is ranked #159,350 (75th percentile) for total stargazers, and #185,812 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,627/18,981.

weisscharlesj/SciCompforChemists is also tagged with popular topics, for these it's ranked: python (#7,729/23346), book (#326/631), numpy (#180/565), science (#103/289), scientific-computing (#100/269), chemistry (#38/186), jupyterlab (#48/155)

Other Information

Homepage URL: https://weisscharlesj.github.io/SciCompforChemists/notebooks/introduction/intro.html

All Topics

book numpy scipy python nmrglue science chemical chemists textbook chemistry computing jupyterlab jupyter-lab simulations biochemistry jupyter-notebooks computer-programming scientific-computing

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84 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-03-19 @ 08:21pm, id: 285298878 / R_kgDOEQFQvg