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.

Episode sponsors

Agntcy
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
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong

--- Stay in touch with us ---
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

#511: From Notebooks to Production Data Science Systems

Talk Python To Me

Refactor with Conversion Tools

Links from the show

The AI-powered Podcast Player