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 254 (last one 26 days ago)

Stargazers 236 (0 this week)

Watchers 11 (0 this week)

Forks 73

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these weisscharlesj/SciCompforChemists is ranked #160,784 (73rd percentile) for total stargazers, and #192,427 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,646/17,543.

weisscharlesj/SciCompforChemists is also tagged with popular topics, for these it's ranked: python (#7,781/22324), book (#325/613), numpy (#183/544), science (#103/279), scientific-computing (#100/258), chemistry (#39/179), jupyterlab (#47/153)

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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79 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: 2024-12-10 @ 01:36pm, id: 285298878 / R_kgDOEQFQvg