What if your code was crash proof? That's the value prop for a framework called temporal.

Temporal is a durable execution platform that enables developers to build scalable applications

without sacrificing productivity or reliability. The temporal server executes units of application

logic called workflows in a resilient manner that automatically handles intermittent failures

and retries failed operations. We have Mason Eger from Temporal on to dive into durable execution and

Python. This is Talk Python to Me. Episode 515 recorded June 19th, 2025. Talk Python to me. Yeah, we ready to roll. Upgrading the code. No fear of getting old. Hey, sink in the air. New frameworks in sight. Geeky rap on deck. Quark crew. It's time to unite. We started in pyramid. Cruze and old school. Welcome to Talk Python to Me, a weekly podcast on Python. This is your host, Michael Kennedy.

Follow me on Massadon, where I'm at M. Kennedy, and follow the podcast using at TalkPython, both accounts over at Fostodon.org.

And keep up with the show and listen to over nine years of episodes at TalkPython.fm.

If you want to be part of our live episodes, you can find the live streams over on YouTube,

subscribe to our YouTube channel over at TalkPython.fm slash YouTube, and get notified

about upcoming shows.

This episode is sponsored by Posit Connect from the makers of Shiny.

Publish, share, and deploy all of your data projects that you're creating

using Python. Streamlet, Dash, Shiny, Boca, Fast API, Flask, Quarto, reports, dashboards,

and APIs. Posit Connect supports all of them. Try Posit Connect for free by going to

TalkPython.fm slash posit, POSIT. The Paiye Conference is returning to the UCSF Mission Bay Conference Center in San Francisco, California on October 18, 2025.

Get your ticket and pick up a free conference course bundle from Talk Python.

Get started at Talkbython.fm slash Pi Bay.

Big announcement.

We have a brand new course for all data science types out there. Just Enough Python for Data Scientists. Data scientists get things done in

notebooks, but production quality work needs more than ad hoc scripts. Just enough Python for

data scientists gives you the essential Python and software engineering habits to level up your analysis without drowning in theory.

...