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AI code that facilitates good science

Practical AI

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Emphasizing Software Engineering in Data Science

This chapter explores the journey of adopting Jupyter Notebooks as a key tool for data teams, addressing initial doubts and the eventual embrace of its capabilities. It highlights the necessity of integrating robust software engineering practices into data science to improve code clarity, maintainability, and collaboration.

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