By now, surely you've heard how awesome Pytantic version 2 is.

The team led by Samuel Colvin spent almost a year refactoring and reworking the core into a high-performance Rust version while keeping the public API in Python and largely unchanged.

The main benefit of this has been massive speedups for the frameworks and devs using Pydantic.

But just how much work is it to take a framework deeply built on Pidantic and make that migration?

And what are some of the pitfalls?

On this episode, we welcome back Roman Wright to talk about his experience converting Beanie,

the popular MongoDB async framework based on Pidantic from Pidantic 1 to 2.

And we'll have some fun talking about MongoDB while we're at it.

This is Talk Pythonomy, episode 432, recorded August 16th, 2023.

Welcome to Talk Python, 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 Talk Python, both on Bostadon.org. Be careful with impersonating accounts on other instances.

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This episode is brought to you by Studio 3T.

Studio 3T is the IDEe that gives you full visual control of your MongoDB data.

With the drag-and-drop visual query builder and multilanguage query code generator, new users will find they're up to speed in no time.

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Ramon, welcome back to Talk Python.

Hi.

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