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Computational notebooks: the benefits and pitfalls
Computational notebooks \u2014\xa0such as Jupyter and Databricks \u2014\xa0have soared in popularity with data scientists thanks to the ease with which text, visualizations and code can be combined on a living document. But what works for the data scientist doesn\u2019t always fit with developers\u2019 needs. Productionizing notebooks is fraught with perils. Our podcast team explores how to use computational notebooks most effectively.