How do you make notebook experiments production-ready?
Practice this question- Move reusable logic into explicit modules and services, pin dependencies, remove hidden notebook state, inject clients, add meaningful boundary tests, and implement logging, resource limits, and deployment reproducibility.
Adapted from 13_AI.MD · “29.18 Python”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.