Why Should You Care? Jupyter Notebooks are a cornerstone of the Python ecosystem, especially in research and data science. Their ability to combine code, markdown, results, and visualizations makes them a powerful tool for analysis and communication.
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But they also come with well-documented drawbacks: hidden execution order, reproducibility issues, and encouragement of poor coding practices. A 2019 study — “A Large-scale Study about Quality and Reproducibility of Jupyter Notebooks”1 — highlighted how these problems undermine reliability at scale.
From AI in biology to surprise networking wins—my deep dive into GHOST Day and KOMPETENTNI.2025 proves that conferences aren’t just for experts; they’re the perfect playground for curious minds.
A look into Decoding Biosignals—a hands-on course that blends programming and biology through the EUNICE alliance. Easily the most exciting class I’ve taken so far!
