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#313 Automate your data exchange with PyDantic

Talk Python To Me

English - April 22, 2021 08:00 - 1 hour - 36.9 MB - ★★★★★ - 418 ratings
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Previous Episode: #312 Python Apps that Scale to Billions of Users
Next Episode: #314 Ask us about modern Python projects and tools

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.



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


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