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Practicing Data Science in Interactive Notebooks.

Jasmine Chong·Susan McClatchy·Joshua Mitchell·Shuzhao Li
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Abstract

The Jupyter Notebook is a platform for interactive computing that displays code and results in the same browser, making it valuable for teaching, prototyping, data analysis, and collaboration. Its explicit and transparent structure greatly reproducibility while its backend server supports flexible deployment. In the past few years, Jupyter notebooks and similar tools have become increasingly popular. In this chapter, we will review key aspects of data analysis in a cloud environment and demonstrate common tasks for analyzing metabolomics data using template notebooks. This is an accompaniment to the basic bioinformatics tools and essential data science toolkit introduced in the first edition.

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SoftwareMetabolomicsData ScienceComputational BiologyHumansUser-Computer InterfaceData analysisData scienceJupyterNotebooksPythonRJournal ArticleReview

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BibTeXRIS

Jasmine Chong, Susan McClatchy, Joshua Mitchell, Shuzhao Li. 2026. Practicing Data Science in Interactive Notebooks.. https://doi.org/10.1007/978-1-0716-5452-1_1

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