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Automate your data exchange with PyDantic

Episode #313, published Thu, Apr 22, 2021, recorded Wed, Apr 14, 2021

Data validation and conversion is one of the truly tricky part of getting external data into your app. This might come from a REST API, a file on disk, or somewhere else. This includes checking for required fields, correct data types, converting from compatible types (for example, strings to numbers), and much more. Pydantic is one of the best ways to do this in modern Python using dataclass-like constructs and type annotations to make it all seamless and automatic.

We welcome Samuel Colvin, creator of Pydantic, to the show. We'll dive into the history of Pydantic and it's many uses and benefits.

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Links from the show

Samuel on Twitter: @samuel_colvin
pydantic: pydantic-docs.helpmanual.io
Contributing / help wanted @ pydantic: github.com
python-devtools package: python-devtools.helpmanual.io

IMPORTANT: PEP 563, PEP 649 and the future of pydantic #2678
GitHub issue on Typing: github.com

YouTube live stream video: youtube.com
Episode transcripts: talkpython.fm

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Samuel Colvin
Samuel Colvin
Python & Rust developer with a hint of TypeScript, maintainer of pydantic and other libraries.
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