Added bits conversions to the ByteSize class #8415 by in #8507.Support yyyy-MM-DD datetime parsing by in #8404.Add Pydantic People Page to docs by in #8345.Support AliasGenerator usage by in #8282.Update pydantic-core from 2.14.6 to 2.16.1, significant changes from these updates are described below, full changelog here.Update to pydantic-extra-types=2.4.1 by in #8478.Upgrade `ruff`` target version to Python 3.8 by in #8341.Check for email-validator version >= 2.0 by in #6033.The code released in v2.6.0 is practically identical to that of v2.6.0b1. Fix computed_field JSON serializer exclude_none behavior by in pydantic/pydantic-core#1187.Fix warning for tuple of wrong size in Union by in pydantic/pydantic-core#1174.Reverting problematic fix from 2.6 release, fixing schema building bug by in #8718.Fix unsupported types bug with PlainValidator by in #8710.Fix regression in core schema generation for indirect definition references by in #8702.Fix inheriting Field annotations in dataclasses by in #8679.Fix ByteSize error type change by in #8681.Fix bug with mypy plugin and no_strict_optional = True by in #8666.Upgrade to pydantic-core 2.16.2 by in #8717.id ) #> 123 Contributingįor guidance on setting up a development environment and how to make aĬontributing to Pydantic. A Simple Example from datetime import datetime from typing import List, Optional from pydantic import BaseModel class User ( BaseModel ): id : int name : str = 'John Doe' signup_ts : Optional = None friends : List = external_data = user = User ( ** external_data ) print ( user ) #> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends= print ( user. See the Install section in the documentation. Install using pip install -U pydantic or conda install pydantic -c conda-forge.įor more installation options to make Pydantic even faster, Pydantic V2 also ships with the latest version of Pydantic V1 built in so that you can incrementally upgrade your code base and projects: from pydantic import v1 as pydantic_v1. If you're using Pydantic V1 you may want to look at theġ.10.X-fixes git branch. Pydantic V2 is a ground-up rewrite that offers many new features, performance improvements, and some breaking changes compared to Pydantic V1. Learning more from the Company Announcement. We've started a company based on the principles that I believe have led to Pydantic's success. Fast and extensible, Pydantic plays nicely with your linters/IDE/brain.ĭefine how data should be in pure, canonical Python 3.8+ validate it with Pydantic.
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