#511: From Notebooks to Production Data Science Systems

Talk Python To Me

محتوای ارائه شده توسط Michael Kennedy. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Michael Kennedy یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

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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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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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
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X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy

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#Python #Prog Languages #Data Science #Michael Kennedy #Michael Kennedy (@mkennedy #Tech