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#132 The Past, Present, and Future, of the Data Science Notebook

DataFramed

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Intro

This chapter examines the development and importance of Jupyter notebooks in data science, highlighting their historical background and future trends. It also discusses the challenges faced by data teams, the influence of AI and large language models on data practices, and the role of developer advocates in a fragmented tooling landscape.

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