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 252 (last one about a month ago)

Stargazers 230 (2 this week)

Watchers 11 (0 this week)

Forks 72

License unknown

Ranking

RepositoryStats indexes 584,777 repositories, of these weisscharlesj/SciCompforChemists is ranked #161,794 (72nd percentile) for total stargazers, and #191,147 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,651/17,124.

weisscharlesj/SciCompforChemists is also tagged with popular topics, for these it's ranked: python (#7,806/22023), book (#327/605), numpy (#188/538), science (#103/277), scientific-computing (#101/255), chemistry (#41/174), jupyterlab (#48/151)

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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77 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: 2024-11-21 @ 02:39pm, id: 285298878 / R_kgDOEQFQvg