Reviewed by Aditya Kumar · Last reviewed 2026-03-24
**Approach**: (1) Export to .py or .ipynb; (2) Git—commit notebooks; use nbdime for diff; (3) Review—notebooks are JSON; (4) CI—papermill, nbval for tests; (5) No secrets—templates, inject at runtime. Pair notebooks with .py modules. Databricks Repos for sync....
Approach: (1) Export to .py or .ipynb; (2) Git—commit notebooks; use nbdime for diff; (3) Review—notebooks are JSON; (4) CI—papermill, nbval for tests; (5) No secrets—templates, inject at runtime. Pair notebooks with .py modules. Databricks Repos for sync. Migration: export without outputs; document execution order; parameterize.
Pro-Move: 'We use nbconvert to .py for critical notebooks; run in CI. Databricks Repos for rest.'
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