# Moving from Dev Notebooks to Production Code - ML 098

Page: https://stenobird.com/podcast/adventures-in-machine-learning/moving-from-dev-notebooks-to-production-code-ml-098
Text version: https://stenobird.com/podcast/adventures-in-machine-learning/moving-from-dev-notebooks-to-production-code-ml-098.md
Podcast: [Adventures in Machine Learning](https://stenobird.com/podcast/adventures-in-machine-learning)
Published: 2022-12-22T11:00:00+00:00
Episode link: https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/moving-from-dev-notebooks-to-production-code-ml-098
Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842232/stream.mp3
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JSON: https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/moving-from-dev-notebooks-to-production-code-ml-098
Duration seconds: 4272

## Resource

In this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of notebooks as development tooling for Data Science work to the complex refactoring needed to convert them to production-capable code bases, our conversation dives deep into the generally under-represented bridge tooling of code base conversions. On YouTube Moving from Dev Notebooks to Production Code - ML 098 Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Links Is There a Way to Bridge the MLOps Tools Gap? - KDnuggets Lineapy.org Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .

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## Transcript

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