The Overview page for Pydantic offers the following Rationale <https://pydantic-docs.helpmanual.io/#rationale>, which makes me think that it might be of interest to Leo's users and Leo's developers:
«So *pydantic* uses some cool new language features, but why should I actually go and use it? *plays nicely with your IDE/linter/brain *There's no new schema definition micro-language to learn. If you know how to use python type hints, you know how to use *pydantic*. Data structures are just instances of classes you define with type annotations, so auto-completion, linting, mypy <https://pydantic-docs.helpmanual.io/usage/mypy/>, IDEs (especially PyCharm <https://pydantic-docs.helpmanual.io/pycharm_plugin/>), and your intuition should all work properly with your validated data. *dual use **pydantic's* BaseSettings <https://pydantic-docs.helpmanual.io/usage/settings/> class allows *pydantic* to be used in both a "validate this request data" context and in a "load my system settings" context. The main differences are that system settings can be read from environment variables, and more complex objects like DSNs and python objects are often required.*fast *In benchmarks <https://pydantic-docs.helpmanual.io/benchmarks/> *pydantic* is faster than all other tested libraries. *validate complex structures *use of recursive *pydantic* models <https://pydantic-docs.helpmanual.io/usage/models/#recursive-models> , typing's standard types <https://pydantic-docs.helpmanual.io/usage/types/#standard-library-types> (e.g. List, Tuple, Dictetc.) and validators <https://pydantic-docs.helpmanual.io/usage/validators/> allow complex data schemas to be clearly and easily defined, validated, and parsed. *extensible**pydantic* allows custom data types <https://pydantic-docs.helpmanual.io/usage/types/#custom-data-types> to be defined or you can extend validation with methods on a model decorated with the validator <https://pydantic-docs.helpmanual.io/usage/validators/> decorator. *dataclasses integration *As well as BaseModel, *pydantic* provides a dataclass <https://pydantic-docs.helpmanual.io/usage/dataclasses/> decorator which creates (almost) vanilla python dataclasses with input data parsing and validation.» > -- You received this message because you are subscribed to the Google Groups "leo-editor" group. To unsubscribe from this group and stop receiving emails from it, send an email to leo-editor+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/leo-editor/7e3ea30e-b0b3-45e7-ba43-930b4ed1a5c2n%40googlegroups.com.
