
Free Daily Podcast Summary
by Michael Kennedy
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.
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Where does your Python code actually run? A server in Virginia? A container in Frankfurt? Pyodide put Python into the browser. Cloudflare put the browser into the server. Combine the two and you get Python Workers, now generally available. My guests are Hood Chatham, Gyeongjae Choi, and Dominik Picheta from Cloudflare. Hood and Gyeongjae maintain Pyodide. Dominik got Python running in Cloudflare Workers in the first place. Your FastAPI app ships as plain Python files. It runs on CPython compiled to WebAssembly, inside V8, at over 350 locations worldwide.
The most popular Python project you've probably never heard of has 252,000 GitHub stars and merged over 1,800 pull requests in a single week. It's Hermes, a self-hosted AI agent you program just by talking to it. And it never clocks out. It runs 24/7 on a box in your house, wakes up every 15 minutes, keeps your YouTube channel in sync, and has your morning briefing ready before you're up. Mine started as a few config files. A few months later, it's 16,000 files of skills, memories, and tools it built for itself, all while I wasn't watching. Jeff Triplett joins me to explore this honestly weird but kind of amazing world. And yes, Hermes has a few words for you, too.
Which of your Python tools would you still pick if you started fresh today? For a long time, the answer was easy. The stack felt settled. AI has reopened almost every one of those choices. Some tools got faster. Others got replaced outright. On this episode, a panel takes stock of the state of the art in Python for 2026. Calvin Hendryx-Parker is CTO and co-founder of Six Feet Up. Pat Decker works in DevOps at Hibu. Reuven Lerner has trained Python developers for 15 years. Sydney Runkle does product management for open source at LangChain. One of them barely opens an editor anymore. Listen in to hear the surprising replacement.
Do you know what's actually slow in your Python app? Or are you guessing? Until now, profiling Python meant a tracing profiler that made your code 2 to 3 times slower. Or a third-party tool that broke with every new release. Python 3.15 fixes that. It ships Tachyon, a sampling profiler built into the standard library. It attaches to live production apps with almost zero overhead. My guests are Pablo Galindo Salgado, CPython core developer and Steering Council member, and László Kiss Kollár from Bloomberg's Python infrastructure team. Their first prototype ran at two samples a second. Now it does over a million hz. And it lands in Python 3.15 this October.
Every ship in EVE Online eventually undocks and leaves the station. This time, it's the whole game. EVE has run on Python 2 since it launched in 2003, all 2.4 million lines of it, on a custom Stackless interpreter that stopped at 3.8 and was archived last year. Destination: Python 3.12. The route runs through 6,500 lines of division that decide who wins a fight, and 100 gigabytes of pickled Python objects that have to survive the jump intact. Kristinn Sigurbergsson was on this show ten years ago. He's back, with Jamie Bannister, who is flying the EVE Online migration right now, and Thomas Dähling, who took EVE Frontier through first. In EVE, a destroyed ship is gone for good. There are no do-overs, and the universe has to stay online the whole way.
Lint the entire CPython code base from scratch. It takes 0.3 seconds. Three blinks of an eye. That is ruff, and it is written in Rust. So are Pydantic, Polars, uv, and Granian. Rust shows up in Python three ways: tools that happen to be Rust, libraries Python imports, and servers that run Python inside Rust. This is Rust for Python developers, not Rust experts. Christopher Trudeau is back on Talk Python to discuss Rust and his latest course Up and Running with Rust. The core rule is that only one thing can own a value at a time. Pass it around freely in Python and the garbage collector cleans up. Do that in Rust and it will not compile.
How many files does your query read before it reads any data? On some data lakes, you go through JSON and metadata files first, just to learn which Parquet files matter. DuckLake asks one SQL question instead. The metadata lives in a real database. The data stays in plain Parquet. That's the entire format. Pedro Holanda joined DuckDB in 2018, when it was still a research prototype at CWI. He's the lead DuckLake developer. Guillermo Sanchez Dionis works on DuckLake and the new Quack protocol. With Quack as the catalog, DuckLake handles 200 transactions a second under heavy contention. No other open table format comes close.
How many cores does your machine have, 10, 18? Your async Python code uses just one of them. That isn't a bug in asyncio. That's the design, and optimizing event loops to be faster by 20% doesn't change it. So Giovanni Barillari started over. Joe is the creator of Granian, the Rust-based server that powers Talk Python. His new project is TonIO, an async runtime written from scratch for free-threaded Python. Real threads, a handful of primitives instead of asyncio's pile of them, and it flat out refuses to start if the GIL is on.
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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.
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