The post discusses strategies to reduce the time to value in data science projects by establishing centralized and reusable components. It emphasizes the importance of moving beyond traditional Jupyter Notebook setups to more structured code practices. Suggestions include creating external repositories for reusable code, which facilitates collaboration and improves efficiency across projects.
Table of contents
IntroductionWe Need To Talk About NotebooksLocal vs Global FunctionalityFocus On Building Components, Not Just FunctionalityDesign ConsiderationsA Centralised, Neutral Repository Allows More Powerful Tools To Be Built CollaborativelyConclusionSort: