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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.

  • Updated Aug 12, 2025
  • Jupyter Notebook

User Defined Functions for multi-component thermodynamic calculations of the Predictive Peng-Robinson 1978 Equation of State. Clean VBA functions - no UI changes and no pop up messages. Errors are reported in cell comments. Import Math.bas, ModArraySupport.bas and ChemE_Functions.bas into PData.xlsx and save as xlsm or simply download PData.xlsm.

  • Updated Oct 18, 2018
  • Visual Basic

A Python library designed to swiftly and effortlessly obtain the UNIFAC-like groups from molecules by their names and subsequently integrate them into inputs for thermodynamic libraries. UNIFAC, PSRK, Joback, and Abdulelah-Gani models are implemented.

  • Updated Jul 23, 2025
  • Python

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