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Michael Kennedy · Technology

Talk Python To Me

Talk Python to Me is a weekly podcast for Python developers, data scientists, and AI builders, hosted by developer and entrepreneur Michael Kennedy. We dive deep into the packages, tools, and people shaping Python, from web development and data science to AI and LLMs. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from its leaders. And if you've been Pythoning for years, you'll hear about your favorite packages and the hot new ones coming out of open source.

Episodes

#528: Python apps with LLM building blocks

#527: MCP Servers for Python Devs

#526: Building Data Science with Foundation LLM Models

#525: NiceGUI Goes 3.0

#524: 38 things Python developers should learn in 2025

#523: Pyrefly: Fast, IDE-friendly typing for Python

#522: Data Sci Tips and Tricks from CodeCut.ai

#521: Red Teaming LLMs and GenAI with PyRIT

#520: pyx - the other side of the uv coin (announcing pyx)

#519: Data Science Cloud Lessons at Scale

#518: Celebrating Django's 20th Birthday With Its Creators

#517: Agentic Al Programming with Python

#516: Accelerating Python Data Science at NVIDIA

#515: Durable Python Execution with Temporal

#514: Python Language Summit 2025

#513: Stories from Python History

#512: Building a JIT Compiler for CPython

#511: From Notebooks to Production Data Science Systems

In this episode of Talk Python To Me, Michael Kennedy interviews Catherine Nelson about transitioning data science projects from local notebooks to production workflows. Catherine shares her background, including her experience as a geologist turned data scientist, and discusses her book, "Software Engineering for Data...

#510: 10 Polars Tools and Techniques To Level Up Your Data Science

#509: GPU Programming in Pure Python

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