Scientific Computing for Chemists with Python is a free book for teaching basic coding skills to chemists using Python, Jupyter notebooks, and the other Python software. This textbook teaches a variety of Python packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, scikit-learn, and others.
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Jupyter NotebookNOASSERTION#biochemistry#book#chemical#chemistry
⑂ 102 forks◯ 1 issuesUpdated 5 days ago
Project homepage ↗This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.
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Jupyter NotebookNo license
⑂ 107 forks◯ 4 issuesUpdated 4 days ago
Project homepage ↗:thought_balloon: This is the accompanying repo for my article on converting a Jupyter Notebook to a streamlit web app.
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Jupyter NotebookNo license
⑂ 12 forks◯ 0 issuesUpdated Sep 13, 2025
Project homepage ↗The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.
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Jupyter NotebookMIT#all#best-practices#cheatsheet#cheatsheets
⑂ 46 forks◯ 0 issuesUpdated Apr 17, 2026
This is a more pythonic implementation of OpenSeesPy library to model and analyze structural problems in Jupyter notebooks
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Jupyter NotebookMIT#dynamic-analysis#finite-element-analysis#jupyter-notebook#opensees
⑂ 29 forks◯ 0 issuesUpdated 13 days ago
This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices
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Jupyter NotebookNo license
⑂ 34 forks◯ 1 issuesUpdated Jul 10, 2025