![]() ![]() Using Notebooks is now a major part of the data science workflow at companies across the globe. ![]() In other words: it's a single document where you can run code, display the output, and also add explanations, formulas, charts, and make your work more transparent, understandable, repeatable, and shareable. This article will walk you through how to use Jupyter Notebooks for data science projects and how to set it up on your local machine.Ī notebook integrates code and its output into a single document that combines visualizations, narrative text, mathematical equations, and other rich media. The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects.
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