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SUMMARY:Building better data structures\, APIs and configuration systems f
 or scientific software using Pydantic - Nick Langellier\, Axel Donath
DTSTART;TZID=America/Chicago:20230710T080000
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DTSTAMP:20261015T205625Z
UID:pretalx-2023-VBZ9PN@cfp.scipy.org
DESCRIPTION:This tutorial is an introduction to Pydantic\, a library for d
 ata validation and settings management using Python type annotations. Usin
 g a semi-realistic ML and / or scientific software pipeline scenario we de
 monstrate how Pydantic can be used to support type validations for scienti
 fic data structures\, APIs and configuration systems. We show how the use 
 of Pydantic in scientific and ML software leads to a more pleasant user ex
 perience as well as more robust and easier to maintain code. A minimum kno
 wledge of Python type annotations\, class definitions and data structures 
 will be helpful\nfor beginners but not required.
LOCATION:Classroom 105
URL:https://cfp.scipy.org/2023/talk/VBZ9PN/
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