Talk Python To Me

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.

Talk Python Membership

Talk Python Membership

Talk Python Courses

Links from the show

Talk Python Tech Talks: talkpython.fm/meetups

Hermes: github.com

Ollama cloud models: ollama.com

https\://hermes-agent.nousresearch.com: hermes-agent.nousresearch.com

Hermes Web UI: get-hermes.ai

built my own UI: blobs.talkpython.fm

the Hermes Dashboard: blobs.talkpython.fm

the audio from the chat example: blobs.talkpython.fm

the CLI: blobs.talkpython.fm

Tailscale: tailscale.com

Hindsight: hindsight.vectorize.io

trmnl display: trmnl.com

JEV: typesafe.ai

Home Assistant Green: www.home-assistant.io

QMD - Query Markup Documents: github.com

OrangePi: www.orangepi.org

Watch this episode on YouTube: youtube.com

Episode #567 deep-dive: talkpython.fm/567

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

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.

Talk Python Membership

Talk Python Membership

Talk Python Courses

Links from the show

Reuven Lerner: github.com

Calvin Hendryx-Parker: linkedin.com

Sydney Runkle: github.com

Talk Python Membership: talkpython.fm/community

This Reddit post: www.reddit.com

PSF+Jetbrains survey: blog.jetbrains.com

vscode: code.visualstudio.com

pycharm: www.jetbrains.com

cmux: cmux.com

warp.dev: www.warp.dev

herdr: herdr.dev

Royal TS: apps.microsoft.com

Tailscale: tailscale.com

uv: docs.astral.sh

FastAPI: fastapi.tiangolo.com

Litestar: litestar.dev

Django: www.djangoproject.com

httpx2: github.com

ty: github.com

pyrefly: pyrefly.org

postgres: www.postgresql.org

sqlite: www.sqlite.org

duckdb: duckdb.org

Hetzner: www.hetzner.com

DigitalOcean: www.digitalocean.com

AWS: aws.amazon.com

Great Docs: posit-dev.github.io

Zensical: zensical.org

Vue.js: Vue.js

AgentsView: www.agentsview.io

LangChain Blog: www.langchain.com

Umami Example of Great Docs: mkennedy.codes

Mintlify: www.mintlify.com

DuckLake: ducklake.select

Robyn Web Framework: robyn.tech

Django Ninja: django-ninja.dev

Talk Python CLI: talkpython.fm

KEdit: www.kedit.com

Kitty: sw.kovidgoyal.net

Watch this episode on YouTube: youtube.com

Episode #566 deep-dive: talkpython.fm/566

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

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.

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Python in Production

Talk Python Courses

Links from the show

László Kiss Kollár: linkedin.com

3.11: talkpython.fm

Memray: talkpython.fm

PyStack: talkpython.fm

profile and cProfile: docs.python.org

py-spy: github.com

Austin: github.com

PEP 799: peps.python.org

PEP 768: peps.python.org

PyCon US 2026 talk: us.pycon.org

The docs: docs.python.org

Backport to 3.14: github.com

Watch this episode on YouTube: youtube.com

Episode #565 deep-dive: talkpython.fm/565

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

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.

Sentry Error Monitoring, Code talkpython26

Talk Python Courses

Links from the show

Jamie Bannister: linkedin.com

Thomas Dähling: linkedin.com

Kristinn Sigurbergsson: linkedin.com

EVE Online: www.eveonline.com

EVE Frontier: evefrontier.com

2.4 million lines of Python: www.eveonline.com

Example of graphics, ships walk-through: www.youtube.com

Stackless: www.stackless.com

futurize: python-future.org

blue: github.com

Dev blog on the Frontier upgrade: evefrontier.com

Upgrading CARBON to Python 3: www.youtube.com

carbon-scheduler: github.com

Scheduling in Carbon: Leaving Stackless Python Behind: www.youtube.com

All of Carbon is on GitHub now: github.com

did a whole course: training.talkpython.fm

Trade Wars BBS (Wikipedia): en.wikipedia.org

TW 3002 - TradeWars 2002, reimagined as a modern browser game: www.reddit.com

Watch this episode on YouTube: youtube.com

Episode #564 deep-dive: talkpython.fm/564

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

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.

Sentry Error Monitoring, Code talkpython26

Python in Production

Talk Python Courses

Links from the show

Up and Running with Rust course: training.talkpython.fm

Rust: rust-lang.org

pydantic: pydantic.dev

ruff: docs.astral.sh

granian: github.com

By example: doc.rust-lang.org

rust-lang.org: rust-lang.org

rustup.rs: rustup.rs

crates.io: crates.io

main.rs: main.rs

PyO3: github.com

https://github.com/ritwiktiwari/awesome-python-rs: github.com

ty: docs.astral.sh

pyrefly: pyrefly.org

uv: github.com

polars: pola.rs

Watch this episode on YouTube: youtube.com

Episode #563 deep-dive: talkpython.fm/563

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

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.

Six Feet Up

Talk Python Courses

Links from the show

Pedro Holanda: pedroholanda.org

Guillermo Sanchez: linkedin.com

PhD on progressive indexes: ir.cwi.nl

SQLite: www.sqlite.org

Litestream: litestream.io

boring hardware: talkpython.fm

DuckDB: duckdb.org

episode 491: talkpython.fm

Iceberg: iceberg.apache.org

manifesto: ducklake.select

DuckLake: ducklake.select

spec: ducklake.select

this diagram: blobs.talkpython.fm

Data inlining: ducklake.select

ducklake-dataframe: github.com

Polars course: training.talkpython.fm

CSV parser: duckdb.org

Zero-copy Arrow: duckdb.org

ART index: duckdb.org

async I/O: duckdb.org

v1.0: ducklake.select

Git-like branching: ducklake.select

Watch this episode on YouTube: youtube.com

Episode #562 deep-dive: talkpython.fm/562

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

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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Python in Production

Talk Python Courses

Links from the show

Giovanni Barillari: github.com

Granian: github.com

Hyper: github.com

Free threaded Python: docs.python.org

Sort of: labs.quansight.org

did a whole course: training.talkpython.fm

uvloop: github.com

rloop: github.com

TonIO: github.com

your EuroPython 2026 talk: www.youtube.com

Michael's Cutting Python Web App Memory Over 31% Article: mkennedy.codes

Watch this episode on YouTube: youtube.com

Episode #561 deep-dive: talkpython.fm/561

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

In 2020, a gastroenterologist in Glasgow did the math on his new research study and came up with 30,000 samples, arriving over two years from three cities and a dozen hospitals. He asked around about how researchers keep track of that. The answer was Microsoft Excel. Shaun Chuah had written some HTML by hand in Notepad back in high school and that was about the whole of his programming experience, so he opened the Django tutorial and started reading. Six years later that app is Foundry120, holding 10 terabytes of clinical and genomics data with an agentic AI running on top of it.

Sentry Error Monitoring, Code talkpython26

Talk Python Courses

Talk Python Courses

Links from the show

Shaun Chuah: github.com

Up and Running with Rust Course: talkpython.fm

Foundry120: www.foundry120.com

Designing Data Intensive Applications: www.oreilly.com

Microsoft Foundry: ai.azure.com

ChatIBD: www.chatibd.com

Blog: shaunchuah.github.io

@drshaunchuah: x.com

github.com/shaunchuah: github.com

Watch this episode on YouTube: youtube.com

Episode #560 deep-dive: talkpython.fm/560

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

Your site is down. It's 3am. Is it a bug, a bill, or a breach? You can't tell yet, and everyone is watching you find out. Matt Lea has spent fifteen years being the person companies call when an outage is costing them real money per hour, and his whole argument is that everything you'd want in that moment gets decided months earlier, on ordinary afternoons, when someone chose the convenient thing. We walk his top twelve dos and don'ts in AWS - infrastructure as code, IAM roles instead of access keys, private subnets, no wildcards, no public buckets - and I push on which of them actually matter if you're one person on a small VPS. Then we get to Cloud War Games, where Matt breaks things on purpose so your team's first real incident isn't their first incident. Let's get into it.

Sentry Error Monitoring, Code talkpython26

Talk Python Courses

Talk Python Courses

Links from the show

Matt Lea: linkedin.com

Talk Python Certificates: training.talkpython.fm/certificates

Schematical: schematical.com

CloudWarGames.com: cloudwargames.com

Zero to Hero on AWS Security: www.oreilly.com

Repo: github.com

Custom Wheel Offset: customwheeloffset.com

2012 TechCrunch Disrupt Hackathon: techcrunch.com

tech comics: schematical.com

shhgit: github.com

Zero Trust in 200ms: Implementing Identity-Per-Transaction: us.pycon.org

Coolify: coolify.io

returned to full GA Nov 2025: aws.amazon.com

Signed URLs/cookies: docs.aws.amazon.com

Cloudflare: www.cloudflare.com

Bunny Shield: bunny.net

Cloud War Games One: www.youtube.com

Cloud War Games Two: www.youtube.com

LinkedIn: linkedin.com

YouTube: youtube.com

KnocKnoc: knocknoc.io

Watch this episode on YouTube: youtube.com

Episode #559 deep-dive: talkpython.fm/559

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy

Every company has one. The little internal tool that Jane built back in 2021, and then Jane left. Nobody understands it, nobody will touch it. There are two unwritten rules around it: don't change it, it's working. And if you break it, you bought it. That's dark-matter enterprise software.

For every app you can actually see, there are ten of these sitting in the shadows, frozen. Michael Booth thinks that just changed. He read my article on hyper-personal software and ran with it, writing about hyper-team software: small teams inside big companies finally building the tools that were never going to get built.

We cover where this works, where it quietly goes wrong, and the guardrails that keep it from turning into a mess. Let's get into it.

Sentry Error Monitoring, Code talkpython26

Python in Production

Talk Python Courses

Links from the show

Michael Booth: github.com

Talk Python AI Integrations: talkpython.fm/blog

From Hyper-Personal to Hyper-Team Software: Small Team-Built, AI-Assisted Tools Inside the Enterprise: www.databooth.com.au

What hyper-personal software looks like (MK's article): mkennedy.codes

Databooth Site: www.databooth.com.au

Wall Street just lost $285 billion because of 13 markdown files: martinalderson.com

SaaSpocalypse is real but everyone is panicking about the wrong thing: www.reddit.com

Warp Terminal: www.warp.dev

Watch this episode on YouTube: youtube.com

Episode #558 deep-dive: talkpython.fm/558

Episode transcripts: talkpython.fm

🥁 Served in a Flask 🎸: talkpython.fm/flasksong

YouTube: youtube.com/@talkpython

Bluesky: @talkpython.fm

Mastodon: @[email protected]

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @[email protected]

Michael on X.com: @mkennedy