Talk Python to Me: #511: From Notebooks to Production Data Science Systems

This episode of Talk Python features Catherine Nelson, who discusses techniques and tools to move data science projects from local notebooks to full-on production workflows. The episode is sponsored by Agntcy, Sentry Error Monitoring, Code TALKPYTHON, and Talk Python Courses. Catherine shares her expertise on scalable systems, having spoken at PyCon US 2025 on the topic "Going From Notebooks to Scalable Systems". She has also written books on building machine learning pipelines and software engineering for data scientists. The episode covers tools such as Jupytext and Jupyter nbconvert, which can be used to convert notebooks to markdown documents and other formats. Catherine's code repository for the episode is available on GitHub, and she has also curated a list of MLOps resources. The episode is available to watch on YouTube, and a transcript is also available on the Talk Python website. Listeners can stay in touch with the show by subscribing to the YouTube channel, following on Bluesky, or joining the Mastodon community.