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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.

  • Updated Nov 26, 2024
  • 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, and Joback models are implemented.

  • Updated Dec 10, 2024
  • Python

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