Navigating Notebooks in Data Science

This chapter explores the dual nature of notebooks in data science, discussing their benefits for project exploration and data visualization alongside their limitations in production environments. It emphasizes the shift towards better coding practices, including automation, version control, and effective documentation for collaborative work. The chapter also critiques the integration of notebooks into production workflows and suggests alternative solutions to enhance efficiency and organization.