About this episode
Today we’re turning tiny tips into big wins. Khuyen Tran, creator of CodeCut.ai, has shipped hundreds of bite-size Python and data science snippets across four years. We dig into open-source tools you can use right now, cleaner workflows, and why notebooks and scripts don’t have to be enemies. If you want faster insights with fewer yak-shaves, this one’s packed with takeaways you can apply before lunch. Let’s get into it. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Khuyen Tran (LinkedIn) : linkedin.com Khuyen Tran (GitHub) : github.com CodeCut : codecut.ai Production-ready Data Science Book (discount code TalkPython) : codecut.ai Why UV Might Be All You Need : codecut.ai How to Structure a Data Science Project for Readability and Transparency : codecut.ai Stop Hard-coding: Use Configuration Files Instead : codecut.ai Simplify Your Python Logging with Loguru : codecut.ai Git for Data Scientists: Learn Git Through Practical Examples : codecut.ai Marimo (A Modern Notebook for Reproducible Data Science) : codecut.ai Text Similarity & Fuzzy Matching Guide : codecut.ai Loguru (Python logging made simple) : github.com Hydra : hydra.cc Marimo : marimo.io Quarto : quarto.org Show Your Work! Book : austinkleon.com Watch this episode on YouTube : youtube.com Episode #522 deep-dive : talkpython.fm/522 Episode transcripts : talkpython.fm Theme Song: Developer Rap 🥁 Served in a Flask 🎸 : talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube : youtube.com/@talkpython Bluesky : @talkpython.fm Mastodon : @talkpython@fosstodon.org X.com : @talkpython Michael on Bluesky : @mkennedy.codes Michael on Mastodon : @mkennedy@fosstodon.org Michael on X.com : @mkennedy