Talk Python To Me

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 Courses

Python in Production

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: @talkpython@fosstodon.org

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @mkennedy@fosstodon.org

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.

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: @talkpython@fosstodon.org

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @mkennedy@fosstodon.org

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.

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: @talkpython@fosstodon.org

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @mkennedy@fosstodon.org

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.

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: @talkpython@fosstodon.org

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @mkennedy@fosstodon.org

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.

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: @talkpython@fosstodon.org

X.com: @talkpython

Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @mkennedy@fosstodon.org

Michael on X.com: @mkennedy