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Type safe data validation using Pydantic v2
--client
sfpy
--show
pybay23
--room bungalo_east 15315 --force
Next: 10 Embeddings: What they are and why they matter
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Marks
Author(s):
Adrian Garcia Badaracco
Location
Bungalo East
Date
oct Sun 08
Days Raw Files
Start
13:30
First Raw Start
13:03
Duration
00:25:00
Offset
0:26:50
End
13:55
Last Raw End
14:03
Chapters
00:00
0:00:44
Total cuts_time
20 min.
https://pybay.com/speakers/#sz-speaker-04379c6c-6e4d-4004-93a2-4028147c9ba1
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This talk will introduce Pydantic users, old or new, to the new APIs available in Pydantic v2, best practices for using them, and some of the powerful new features we added support for, like PEP 593's `Annotated` and PEP 695's `TypeAliasType`. We'll then dive deeper into how Pydantic v2 interacts with Python's type system, what we've learned from that, and how we can improve runtime <-> static typing interactions even more. Finally, we'll touch on some of the internals of Pydantic, including our use of Rust and how we've essentially ended up building a DSL that translates type hints and snippets of arbitrary user-defined logic into a DAG of computations in Rust (i.e. how we accidentally built a compiler).
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production notes
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