Series of Jupyter Notebooks Using Python for an Analytical Chemistry Course

2020/09/01 by Erik J. Menke, Erik Menke · 65 citations
Computer Science · Engineering · #Computational Physics and Python Applications #Computer science #Electrowetting and Microfluidic Technologies #Microfluidic and Capillary Electrophoresis Applications #Programming language #Python (programming language)

paper · pdf · doi:10.1021/acs.jchemed.9b01131

published in Journal of Chemical Education 97(10), 3899-3903 (American Chemical Society)

openalex publication_date 2020/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

UC Merced’s upper-division analytical chemistry course has been modified to include a series of Jupyter notebooks intended to introduce chemistry students to the Python computer language. These Jupyter notebooks were designed to cover a wide variety of topics common to quantitative and instrumental analysis. Assuming no prior programming experience, the notebooks are scaffolded to introduce students the Python’s syntax while applying Python to solving chemical problems. Jupyter and Python were chosen because they are free, widely available, and widely used.

Citations

• A Python Program for Solving Schrödinger’s Equation in Undergraduate Physical Chemistry
• Data Functionalization for Gas Chromatography in Python

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