Integrating computational thinking into physics and astronomy requires teachers to be creative. I have stumbled through creating some data-driven Python-powered Jupyter Notebooks. I am using Google Colab, and they all live on GitHub as a repository
| Intro to coding with Jupyter Notebook |
| Relative Europium abundance student notebook – teacher notebook (equivalent width) |
| Hertzsprung-Russell diagram introduction |
| Kepler’s Third Law with exoplanet data |
| Measuring distance with light (RR Lyrae globular cluster photometry) student notebook – teacher notebook – student notebook version with a color-magnitude diagram |
| Hubble diagram using SDSS galaxy data – student notebook – teacher notebook |
| Air drag: video data analysis versus modeling data analysis – Univ of Houston research internship notebook – student notebook |
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