Talk Python To Me
Nouveau#568: Cloudflare Python Workers
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- 567
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- hebdomadaire
- Dernier épisode
- 3 Nov 2026
À propos du podcast
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.
Épisodes 567
#568: Cloudflare Python Workers
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 …
Notes de l’épisode
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.
Episode sponsors
Talk Python Membership
Talk Python Membership
Talk Python Courses
Links from the show Guests
Gyeongjae Choi: linkedin.com
Hood Chatham
Dominik Picheta
Pyodide: pyodide.com
Python Everywhere: The State of Python on WebAssembly - Hood Chatham, Gyeongjae Choi: www.youtube.com
PEP 783: peps.python.org
D1 Databases: www.cloudflare.com
Hyperdrive: www.cloudflare.com
R2 Object Storage: www.cloudflare.com
Queues: developers.cloudflare.com
AI: www.cloudflare.com
now generally available: blog.cloudflare.com
Memory Snapshots for CPython (Python Language Summit 2026\): blog.python.org
Cloudflare Worker Limits: developers.cloudflare.com
Litestream: litestream.io
workerd: github.com
Are we PEP 783 yet?: pyodide.github.io
The Birth & Death of JavaScript: www.destroyallsoftware.com
Watch this episode on YouTube: youtube.com
Episode #568 deep-dive: talkpython.fm/568
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#567: Personal AI Agents for Pythonistas
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 …
Notes de l’épisode
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.
Episode sponsors
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#566: State of the art in Python 2026
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 …
Notes de l’épisode
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.
Episode sponsors
Talk Python Membership
Talk Python Membership
Talk Python Courses
Links from the show Guests
Pat Decker
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#565: Tachyon, Python 3.15's Built-in Sampling Profiler
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 …
Notes de l’épisode
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.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Python in Production
Talk Python Courses
Links from the show Guests
László Kiss Kollár: linkedin.com
Pablo Galindo Salgado
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#564: EVE Online Departs for Python 3
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 …
Notes de l’épisode
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.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Talk Python Courses
Links from the show Guests
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#563: Getting Started with Rust as Python Devs
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 …
Notes de l’épisode
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.
Episode sponsors
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#562: DuckLake: The Lakehouse That's Just SQL and Parquet
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 …
Notes de l’épisode
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.
Episode sponsors
Six Feet Up
Talk Python Courses
Links from the show Guests
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#561: TonIO, a Multi-threaded Async Runtime for Python
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 …
Notes de l’épisode
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.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Python in Production
Talk Python Courses
Links from the show Guest
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#560: Building a Research OS: From Django to 30,000 Samples
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 …
Notes de l’épisode
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.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Talk Python Courses
Talk Python Courses
Links from the show Guest
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#559: 12 Things You Should (and Shouldn't) Do in AWS
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 …
Notes de l’épisode
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.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Talk Python Courses
Talk Python Courses
Links from the show Guest
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#558: Hyper-Personal Software with Python
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 …
Notes de l’épisode
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.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Python in Production
Talk Python Courses
Links from the show Guest
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
Theme Song: Developer Rap
🥁 Served in a Flask 🎸: talkpython.fm/flasksong
---== Don't be a stranger ==---
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#557: Security of everything at PyCon 2026
Security has always been the vegetables of software. Everyone agrees it matters, and somehow it never quite makes it onto the plate. At PyCon US this year, that changed. For the first time ever, security got …
Notes de l’épisode
Security has always been the vegetables of software. Everyone agrees it matters, and somehow it never quite makes it onto the plate. At PyCon US this year, that changed. For the first time ever, security got its own dedicated, day-long track, one of just two at the whole conference, sitting right next to AI. And the room was packed to the back wall.
On this episode, I'm joined by the three people at the center of it. Seth Larson, Security Developer in Residence at the Python Software Foundation and, very recently, a CPython core developer. Juanita Gomez, a PhD researcher at UC Santa Cruz in open source security, who co-chaired the track. And Mike Fiedler, PyPI's Safety and Security Engineer, one of the very few people paid full-time to keep the packages you install safe.
We use the arc of the track's talks to take the temperature of Python security right now: supply chain attacks, dependency cooldowns, zero trust, SBOMs, and the push to bring Rust into CPython. And why not one of us thinks security is anywhere close to solved. Turns out that's the good news. It's why the room was full.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Talk Python Courses
Links from the show Guests
Juanita Gomez: linkedin.com
Mike Fiedler: miketheman.dev
Seth Michael Larson: sethmlarson.dev
Trailblazing Python Security: us.pycon.org
Everything Security at PyCon US 2026 (PSF blog): pyfound.blogspot.com
Dependency Cooldowns: cooldowns.dev
Anatomy of a Phishing Campaign (Mike Fiedler) Recording: www.youtube.com
FedRAMP: www.gsa.gov
Zero Trust in 200ms: Implementing Identity-Per-Transaction with Python & Serverless-Tristan McKinnon: www.youtube.com
Rust for CPython project: blog.python.org
pre-PEP: discuss.python.org
Rust for CPython: Making Python Safer and More Robust for Everyone - Emma Smith: www.youtube.com
SBOMit: github.com
Asleep at the Wheel: Getting your SBOMs to pay attention... - Sanchit Sahay, Abhishek Reddypalle: www.youtube.com
Volatility: volatilityfoundation.org
Post Incident Runtime SBOM Generation from Python Memory - Hala Ali: www.youtube.com
zizmor: docs.zizmor.sh
GitHub Actions security in Python packages (Andrew Nesbitt write-up): nesbitt.io
andrew/pycon: data & analysis for the GitHub Actions security talk: github.com
GitHub Actions Security in Python Packages - Andrew Nesbitt: www.youtube.com
gh-profiler: examine a GitHub user's profile to gauge their contributions: github.com
PyCon US YouTube channel: www.youtube.com
SBOMit: adding verification to SBOMs (OpenSSF): openssf.org
Ecosystems: ecosyste.ms
Watch this episode on YouTube: youtube.com
Episode #557 deep-dive: talkpython.fm/557
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#556: Updates on Django's Async Story
For years, "Django and async" came with an asterisk. The docs themselves warned you off it. Scary performance notes, a story that felt half-finished. Well, that story just got rewritten, literally, and the …
Notes de l’épisode
For years, "Django and async" came with an asterisk. The docs themselves warned you off it. Scary performance notes, a story that felt half-finished. Well, that story just got rewritten, literally, and the person who rewrote it is here to tell you why the old framing was wrong.
Carlton Gibson is a former Django Fellow, sat on the security team for eight years, and he's on the steering council. On this episode we get into the async topic doc rewrite, what actually remains versus what was just fear, the new Tasks framework in 6.0, DB-level cascades and fetch modes landing in 6.1, and why free-threading is the bet that's about to pay off big for Django. If you've been told Django's async story isn't ready, this is the episode that puts that myth to bed.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Python in Production
Talk Python Courses
Links from the show DjangoCon Europe: djangocon.eu
PyCon Italia: pycon.it
Django on the Med: djangomed.eu
Django Mantle: noumenal.es
PyPI: pypi.org
release notes: docs.djangoproject.com
on_delete: docs.djangoproject.com
Fetch modes: docs.djangoproject.com
HttpRequest.multipart_parser_class: docs.djangoproject.com
async topic doc: docs.djangoproject.com
docs: docs.djangoproject.com
DEP 14: github.com
django-tasks: github.com
django-tasks-local: github.com
Celery: docs.celeryq.dev
PEP 703: peps.python.org
free-threading HOWTO: docs.python.org
PEP 779: peps.python.org
ASGI: docs.djangoproject.com
PGBouncer: www.pgbouncer.org
Channels: channels.readthedocs.io
sync_to_async / async_to_sync: docs.djangoproject.com
noumenal.es: noumenal.es
Django Chat: djangochat.com
@[email protected]: fosstodon.org
Article: Cutting Python Web App Memory Over 31%: mkennedy.codes
Watch this episode on YouTube: youtube.com
Episode #556 deep-dive: talkpython.fm/556
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#555: Marimo Pair - A Canvas for Agent + Developers Collaboration
Coding agents have gotten really good at one kind of work. You scope a feature, edit some files, run the tests, ship it. It all happens on disk. But that is not how data work feels. You load something, you look …
Notes de l’épisode
Coding agents have gotten really good at one kind of work. You scope a feature, edit some files, run the tests, ship it. It all happens on disk. But that is not how data work feels. You load something, you look at it, you run a cell, you watch how it responds, and you decide the next move from whatever is sitting in memory. And until now, your agent couldn't see any of that. It only saw the files. Never the live state.
This episode, that wall comes down. marimo pair drops a coding agent right inside a running notebook, with full access to every variable Python is holding in memory. The notebook becomes a shared canvas. You point, it runs the code. You tell it to zoom in on the Picasso paintings, and the chart just updates. No MCP tools to wire up, no schema to describe. Just Python, and an agent that can finally see what you see. Trevor Manz is back to walk us through it.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Talk Python Courses
Links from the show marimo pair: marimo.io/pair
Course transcripts announcement: talkpython.fm/blog
anywidget: Jupyter Widgets made easy: talkpython.fm
marimo: marimo.io
blog: marimo.io
GitHub: github.com
given this: martinalderson.com
llms.txt: talkpython.fm
mcp: talkpython.fm
cli: talkpython.fm
open issues: github.com
Discord: marimo.io
Marimo Pair: marimo.io
OpenCode: opencode.ai
AI Tooling for Software Engineers in 2026: newsletter.pragmaticengineer.com
Watch this episode on YouTube: youtube.com
Episode #555 deep-dive: talkpython.fm/555
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#554: Trustworthy AI in Healthcare and Longevity
You ask an AI a question and it answers with total confidence. Most of the time, a confidently wrong answer is just an annoyance. But what if the question is medical, and there's a real patient on the other …
Notes de l’épisode
You ask an AI a question and it answers with total confidence. Most of the time, a confidently wrong answer is just an annoyance. But what if the question is medical, and there's a real patient on the other end? In that world, a hallucination isn't a bug, it's a patient-safety event. Sumit Gundawar is a London-based software engineer who builds the clinical platform for a UK longevity and aesthetic-medicine clinic, and his whole argument is that in high-stakes AI, the model is the easy part. Earning trust is the real engineering. We dig into grounding, refusal logic, human-in-the-loop design, and the messy frontier of longevity and biohacking, plus a live demo of an assistant that refuses to answer when it can't back up the claim. Let's get into it.
Episode sponsors
Six Feet Up
Talk Python Courses
Links from the show Guest
Sumit Gundawar: linkedin.com
Course transcripts announcement: talkpython.fm/blog
Sumit Gundawar - JAX London Speaker: jaxlondon.com
Anthropic: anthropic.com
OpenAI Platform: platform.openai.com
Anthropic: anthropic.com
LangChain: langchain.com
OWASP: owasp.org
Pydantic: pydantic.dev
EU AI Act - Regulatory Framework: digital-strategy.ec.europa.eu
HIPAA - HHS: www.hhs.gov
NHS: www.nhs.uk
Llama: llama.com
Qwen - QwenLM on GitHub: github.com
OpenAI Platform: platform.openai.com
Hugging Face: huggingface.co
Llama: llama.com
Granola: www.granola.ai
HIPAA - HHS: www.hhs.gov
CodeRabbit: www.coderabbit.ai
Cursor Origin: cursor.com
GitHub Status: www.githubstatus.com
Midjourney Medical: www.midjourney.com
Neko Health: www.nekohealth.com
CERN: home.cern
ATLAS Experiment: atlas.cern
Watch this episode on YouTube: youtube.com
Episode #554 deep-dive: talkpython.fm/554
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#553: All of our tools
This episode is a fun crossover from our Python news and tips podcast, Python Bytes. We have had some big changes over there. Brian Okken has moved on and Calvin Hendryx-Parker has joined the show as the new …
Notes de l’épisode
This episode is a fun crossover from our Python news and tips podcast, Python Bytes. We have had some big changes over there. Brian Okken has moved on and Calvin Hendryx-Parker has joined the show as the new co-host. To kick off this new era, we decided to do a longer and more personal episode called "All Our Tools". The idea is both of us talk about some of our most useful day-to-day developer and business owner tools that we think you all would find useful. It was so well received, that I'm bringing it to you all as a crossover episode. Enjoy and we hope you find something new and awesome to help you with your software and data science day to day.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Python in Production
Talk Python Courses
Links from the show Guest
Calvin Hendryx-Parker: linkedin.com
@[email protected]: sixfeetup.social
@calvinhp.com: bsky.app
calvinhp.com: calvinhp.com
Original airing on Python Bytes: pythonbytes.fm
pi: pi.dev
superpowers: github.com
Warp.dev: Warp.dev
OhMyZSH: ohmyz.sh
Commandbookapp.com: Commandbookapp.com
Blink: blink.sh
kitty: sw.kovidgoyal.net
mosh: mosh.org
tmux: github.com
Claude code: www.anthropic.com
Claude.md: Claude.md
MacWhisper: goodsnooze.gumroad.com
Handy: handy.computer
Tailscale: tailscale.com
Talk Python episode with Alex: talkpython.fm
Telescopo: www.telescopo.app
Typora markdown: typora.io
formal documentation for many of my open source packages: mkennedy.codes
Great Docs: posit-dev.github.io
Statement on the US government directive to suspend access to Fable 5 and Mythos 5: www.anthropic.com
No second date: x.com
Watch this episode on YouTube: youtube.com
Episode #553 deep-dive: talkpython.fm/553
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#552: Astral joins OpenAI
OpenAI just acquired Astral, the company behind uv, Ruff, and ty. And if your first thought was "wait, is uv toast?", you are not alone. But here's the twist Charlie Marsh shared with me: he thinks they may …
Notes de l’épisode
OpenAI just acquired Astral, the company behind uv, Ruff, and ty. And if your first thought was "wait, is uv toast?", you are not alone. But here's the twist Charlie Marsh shared with me: he thinks they may ship more open source at OpenAI than they ever did at Astral. On this episode, we get into the acquisition, the mixed feelings, the future of your favorite Python tools, and what it's like to build right at the center of the AI universe.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Talk Python Courses
Links from the show Guest
Charlie Marsh: github.com
The announcement: astral.sh
OpenAI: openai.com
uv: github.com
ty: github.com
Ruff: github.com
pyx: astral.sh
Codex team: openai.com
Anthropic did something similar by acquiring Bun: www.anthropic.com
Daily Stars Explorer: emanuelef.github.io
Agentic AI Programming for Python: training.talkpython.fm
Python Web Security: OWASP Top 10 with Agentic AI: training.talkpython.fm
Episode #552 deep-dive: talkpython.fm/552
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#551: Stroll Down Startup Lane - 2026
If you've ever been to PyCon, you know one of the best parts of the expo hall is Startup Row, a stretch of booths where early-stage companies built on Python show off what they're creating. But only attendees …
Notes de l’épisode
If you've ever been to PyCon, you know one of the best parts of the expo hall is Startup Row, a stretch of booths where early-stage companies built on Python show off what they're creating. But only attendees get to walk that lane, so let's bring it to everyone. In this episode, we stroll down Startup Row together. We kick things off with the organizers, Jason and Shay, who share the program's origin story going back to Paul Graham and the PSF, plus some surprising stats, including two unicorns among the alumni. Then we meet five startups: Tetrix, bringing AI to institutional investing in private markets. Arcjet, security that lives inside your app as an SDK. Phemeral.dev, serverless hosting built for Python web apps. CapiscIO, an identity and authority layer for AI agents. And Pixeltable, a multimodal database from Marcel Kornacker, co-creator of Apache Parquet. See if you can spot the theme running through them all. Let's go for a walk.
Episode sponsors
AgentField AI
Talk Python Courses
Links from the show Guests
Naunidh Bhalla: linkedin.com
Grant Gittes: linkedin.com
Marcel Kornacker: linkedin.com
Beon de Nood: linkedin.com
Chinmaya Joshi: linkedin.com
David Mytton: linkedin.com
Shea Tate-Di Donna: linkedin.com
Jason Rowley: linkedin.com
Azul Garza: github.com
Renée Rosillo: linkedin.com
Tetrix: tetrix.co
Tetrix Jobs: tetrix.co
Arcjet: arcjet.com
Pixeltable: pixeltable.com
Phemeral.dev: phemeral.dev
CapiscIO: capisc.io
Episode #551 deep-dive: talkpython.fm/551
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#550: AI Contributions and Maintainer Load in Open Source
You wake up, brew the coffee, open GitHub, and there it is. Another pull request on your open source project. Thirteen thousand lines added. No issue filed first. No discussion. Just "here, please review this …
Notes de l’épisode
You wake up, brew the coffee, open GitHub, and there it is. Another pull request on your open source project. Thirteen thousand lines added. No issue filed first. No discussion. Just "here, please review this for me."
Over the past year, GitHub activity has spiked roughly twelve times in a few short months, and a huge chunk of that signal is landing on the same small group of maintainers who were already stretched thin. The curl bug bounty got buried under AI-generated noise. Jazzband, the home of Django classics like pip-tools and the Django debug toolbar, hit what its maintainer called an "apocalypse" and started sunsetting. Even CPython just shipped fresh guidelines on AI-assisted contributions this week.
So what does all of this actually look like from the receiving end of the pull request?
On this episode, Paolo Melchiorre joins us to tell that story from inside the maintainer's chair. Paolo is a director of the Django Software Foundation, an organizer of PyCon Italy, a Django Girls coach, and he has spent the past year carefully collecting examples of how AI is reshaping open source contributions. The good, the bad, and the extra fingers.
We dig into his PyCon US talk on AI-assisted contributions and maintainer load, why AI is best understood as an amplifier rather than a new kind of contributor, the wildly different policies across 86 open source foundations, whether projects banning AI today are reacting to last year's models.
Episode sponsors
AgentField AI
Talk Python Courses
Links from the show Guest
Paolo Melchiorre: github.com
DSF: www.djangoproject.com
djangonaut-space: djangonaut.space
PyCon Italia: 2026.pycon.it
uDjango: github.com
My PyCon US 2026 post: www.paulox.net
AI-Assisted Contributions and Maintainer Load: www.paulox.net
Senior Engineer Tries Vibe Coding: www.youtube.com
Code Rabbit AI PR Reviews: www.coderabbit.ai
GitHub Usage Graphs: github.blog
Update on CPython's AI Policies: fosstodon.org
High-Quality Chaos from Curl: daniel.haxx.se
The Generative AI Policy Landscape in Open Source: redmonk.com
Watch this episode on YouTube: youtube.com
Episode #550 deep-dive: talkpython.fm/550
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#549: Great Docs
Your documentation has two audiences now - humans reading the rendered HTML, and AI agents trying to make sense of your library. Rich Iannone and Michael Chow from Posit are back on Talk Python with a brand new …
Notes de l’épisode
Your documentation has two audiences now - humans reading the rendered HTML, and AI agents trying to make sense of your library. Rich Iannone and Michael Chow from Posit are back on Talk Python with a brand new Python documentation tool called Great Docs that takes both seriously. Rich is the creator of Great Tables, and before that the R package GT, the man has a serious eye for design, and he's pointed that energy at the Python docs ecosystem. We'll talk about how Great Docs spins up a polished site in three commands, why every page ships as Markdown for your favorite LLM, how it leans on Quarto for executable code blocks and tabbed install sections, and where it lands against Sphinx, MkDocs, and Zensical. Plus, you'll meet Tablin. Here we go.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Temporal
Talk Python Courses
Links from the show Guests
Michael Chow: github.com
Rich lannone: github.com
Python Web Security with OWASP Top 10 and Agentic AI Course: talkpython.fm
Great Docs: posit-dev.github.io/great-docs
Great Tables: posit-dev.github.io
GT Episode: talkpython.fm
Sphinx: www.sphinx-doc.org
mkdocs: www.mkdocs.org
Zensical: zensical.org
Hugo: gohugo.io
Ghost: ghost.org
Rs pkgdown: pkgdown.r-lib.org
Quarto: quarto.org
quickstart: posit-dev.github.io
llms.txt file: llmstxt.org
llms.txt: talkpython.fm
mcp: talkpython.fm
cli: talkpython.fm
Watch this episode on YouTube: youtube.com
Episode #549 deep-dive: talkpython.fm/549
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#548: Event Sourcing Design Pattern
What if your database worked more like Git? Every change captured as an immutable event you can replay, instead of a single mutating row that quietly forgets its own history. That's event sourcing, and Chris …
Notes de l’épisode
What if your database worked more like Git? Every change captured as an immutable event you can replay, instead of a single mutating row that quietly forgets its own history. That's event sourcing, and Chris May is back on Talk Python, fresh off our Datastar panel, to walk us through what it actually looks like in Python. We'll cover the core patterns, the libraries to reach for, when not to use it, and why event sourcing turns out to be a surprisingly good fit for AI-assisted coding.
Episode sponsors
Sentry Error Monitoring, Code talkpython26
Temporal
Talk Python Courses
Links from the show Guest
Chris May: everydaysuperpowers.dev
Intro to event sourcing e-book: everydaysuperpowers.gumroad.com
Domain-Driven Design: The Power of CQRS and Event Sourcing: How CQRS/ES Redefine Building Scalable System: ricofritzsche.me
DDD: www.amazon.com
Understanding Eventsourcing (Martin Dilger): www.amazon.com
Event Sourcing Explained using Football Video: www.youtube.com
Why I finally embraced event sourcing and why you should too article: everydaysuperpowers.dev
valkey: valkey.io
diskcache: talkpython.fm
eventsourcing package: github.com
eventsourcing docs: eventsourcing.readthedocs.io
John Bywater: github.com
Datastar: data-star.dev
Microconf: microconf.com
Event Modeling & Event Sourcing Podcast: podcast.eventmodeling.org
Python Package Guides for AI Agents: github.com
Iodine tablets AI joke: x.com
KurrentDb: www.kurrent.io
Watch this episode on YouTube: youtube.com
Episode #548 deep-dive: talkpython.fm/548
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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy#547: Parallel Python at Anyscale with Ray
See the full show notes for this episode on the website at talkpython.fm/547
#546: Self hosting apps for Python people
See the full show notes for this episode on the website at talkpython.fm/546
#545: OWASP Top 10 (2025 List) for Python Devs
See the full show notes for this episode on the website at talkpython.fm/545
#544: Wheel Next + Packaging PEPs
See the full show notes for this episode on the website at talkpython.fm/544
#543: Deep Agents: LangChain's SDK for Agents That Plan and Delegate
See the full show notes for this episode on the website at talkpython.fm/543
#542: Zensical - a modern static site generator
See the full show notes for this episode on the website at talkpython.fm/542
#541: Monty - Python in Rust for AI
See the full show notes for this episode on the website at talkpython.fm/541
#540: Modern Python monorepo with uv and prek
See the full show notes for this episode on the website at talkpython.fm/540
#539: Catching up with the Python Typing Council
See the full show notes for this episode on the website at talkpython.fm/539
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