Lab notebooks, academic papers, and conference talks lack the interaction often needed to understand data and explore scientific models. As an academic researcher in experimental physics, the Jupyter Notebook framework has been pivotal in the exploration of my data, the selection of fitting parameters with interactive widgets, and the real-time manipulation and presentation of my analysis to fellow researchers. Documenting and sharing this data processing pipeline in an interactive notebook promotes transparency and scientific reproducibility. In this presentation, I will demonstrate the use of a Jupyter notebook in detecting and tracking artificial, microscopic swimmers and the use of widgets to visualize mathematical models and their relation to experimental data.
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