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docs/en/docs/tutorial/security/oauth2-jwt.md
And be compatible with all of them at the same time. Create a utility function to hash a password coming from the user. And another utility to verify if a received password matches the hash stored. And another one to authenticate and return a user. === "Python 3.10+"
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docs/en/docs/how-to/async-sql-encode-databases.md
!!! tip You could adopt ideas from the section about SQLAlchemy ORM ([SQL (Relational) Databases](../tutorial/sql-databases.md){.internal-link target=_blank}), like using utility functions to perform operations in the database, independent of your **FastAPI** code.
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docs/fr/docs/advanced/additional-responses.md
Par exemple, vous pouvez déclarer une réponse avec un code HTTP `404` qui utilise un modèle Pydantic et a une `description` personnalisée. Et une réponse avec un code HTTP `200` qui utilise votre `response_model`, mais inclut un `example` personnalisé : ```Python hl_lines="20-31" {!../../../docs_src/additional_responses/tutorial003.py!} ```
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docs/fr/docs/async.md
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docs/en/docs/async.md
### Other utility functions Any other utility function that you call directly can be created with normal `def` or `async def` and FastAPI won't affect the way you call it. This is in contrast to the functions that FastAPI calls for you: *path operation functions* and dependencies.
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docs/en/docs/release-notes.md
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docs/en/docs/deployment/concepts.md
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docs/pt/docs/async.md
* **Deep Learning**: Esse é um subcampo do Machine Learning, então o mesmo se aplica. A diferença é que não há apenas uma grande folha de papel com números para multiplicar, mas um grande conjunto de folhas de papel, e em muitos casos, você utiliza um processador especial para construir e/ou usar modelos. ### Concorrência + Paralelismo: Web + Machine learning
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docs/en/docs/tutorial/handling-errors.md
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docs/en/docs/tutorial/sql-databases.md
Import `models` (the SQLAlchemy models) and `schemas` (the Pydantic *models* / schemas). Create utility functions to: * Read a single user by ID and by email. * Read multiple users. * Read multiple items. ```Python hl_lines="1 3 6-7 10-11 14-15 27-28" {!../../../docs_src/sql_databases/sql_app/crud.py!}
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