mirror of
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Samuel Colvin
33b7d52d31
* moving docs to mkdocs * transfering readme to md and more * fixing build * splitting usage.md * improving schema.md and index.md * fix make_history.rst * models intro * working on data conversation and required fields * more fixes to models.md * list all standard types supported * list of pydantic types * tweaks * update links in code * Apply suggestions from code review incorporate @dmontagu's suggestions. Co-Authored-By: dmontagu <35119617+dmontagu@users.noreply.github.com> * Apply suggestions from code review more missed suggestions. Co-Authored-By: dmontagu <35119617+dmontagu@users.noreply.github.com> * Apply suggestions from code review more corrects. * cleanup * Field order warning * fix and regenerate benchmarks * format examples better, cleanup * improve schema mapping table * correct highlighting file types in schema.md * add redirects in javascript * add logo
52 lines
2.0 KiB
Markdown
52 lines
2.0 KiB
Markdown
# pydantic
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[](https://travis-ci.org/samuelcolvin/pydantic)
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[](https://codecov.io/gh/samuelcolvin/pydantic)
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[](https://pypi.python.org/pypi/pydantic)
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[](https://anaconda.org/conda-forge/pydantic)
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[](https://pypistats.org/packages/pydantic)
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[](https://github.com/samuelcolvin/pydantic)
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[](https://github.com/samuelcolvin/pydantic/blob/master/LICENSE)
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Data validation and settings management using Python type hinting.
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Fast and extensible, *pydantic* plays nicely with your linters/IDE/brain.
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Define how data should be in pure, canonical Python 3.6+; validate it with *pydantic*.
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## Help
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See [documentation](https://pydantic-docs.helpmanual.io/) for more details.
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## Installation
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Install using `pip install -U pydantic` or `conda install pydantic -c conda-forge`.
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For more installation options to make *pydantic* even faster,
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see the [Install](https://pydantic-docs.helpmanual.io/install/) section in the documentation.
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## A Simple Example
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```py
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from datetime import datetime
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from typing import List
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from pydantic import BaseModel
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class User(BaseModel):
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id: int
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name = 'John Doe'
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signup_ts: datetime = None
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friends: List[int] = []
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external_data = {'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']}
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user = User(**external_data)
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print(user)
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#> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
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print(user.id)
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#> 123
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```
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## Contributing
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For guidance on setting up a development environment and how to make a
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contribution to *pydantic*, see
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[Contributing to Pydantic](https://pydantic-docs.helpmanual.io/contributing/).
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