If you're doing data science and have mostly spent your time doing exploratory or just local development, this could be the episode for you. We are joined by Catherine Nelson to discuss techniques and tools to move your data science game from local notebooks to full-on production workflows.

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Sentry Error Monitoring, Code TALKPYTHON

Talk Python Courses

Links from the show

New Course: LLM Building Blocks for Python: training.talkpython.fm

Catherine Nelson LinkedIn Profile: linkedin.com

Catherine Nelson Bluesky Profile: bsky.app

Enter to win the book: forms.google.com

Going From Notebooks to Scalable Systems - PyCon US 2025: us.pycon.org

Going From Notebooks to Scalable Systems - Catherine Nelson – YouTube: youtube.com

From Notebooks to Scalable Systems Code Repository: github.com

Building Machine Learning Pipelines Book: oreilly.com

Software Engineering for Data Scientists Book: oreilly.com

Jupytext - Jupyter Notebooks as Markdown Documents: github.com

Jupyter nbconvert - Notebook Conversion Tool: github.com

Awesome MLOps - Curated List: github.com

Watch this episode on YouTube: youtube.com

Episode #511 deep-dive: talkpython.fm/511

Episode transcripts: talkpython.fm

Subscribe to Talk Python on YouTube: youtube.com

Talk Python on Bluesky: @talkpython.fm at bsky.app

Talk Python on Mastodon: talkpython

Michael on Bluesky: @mkennedy.codes at bsky.app

Michael on Mastodon: mkennedy