developing-data-science-notebooks

Develop production-grade Jupyter notebooks for data science research that follow state-of-the-art code practices (cell structure, modularization, reproducibility) and are designed to transition cleanly into production artifacts (API, worker, DAG). Use when creating, restructuring, or reviewing data science notebooks.