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  1. docs/fr/docs/history-design-future.md

    De plus, la meilleure approche était d'utiliser des normes déjà existantes.
    
    Ainsi, avant même de commencer à coder **FastAPI**, j'ai passé plusieurs mois à étudier les spécifications d'OpenAPI, JSON Schema, OAuth2, etc. Comprendre leurs relations, leurs similarités et leurs différences.
    
    ## Conception
    
    Ensuite, j'ai passé du temps à concevoir l'"API" de développeur que je voulais avoir en tant qu'utilisateur (en tant que développeur utilisant FastAPI).
    
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  2. docs/en/docs/alternatives.md

    ## Intro
    
    **FastAPI** wouldn't exist if not for the previous work of others.
    
    There have been many tools created before that have helped inspire its creation.
    
    I have been avoiding the creation of a new framework for several years. First I tried to solve all the features covered by **FastAPI** using many different frameworks, plug-ins, and tools.
    
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  3. fastapi/dependencies/models.py

            self.call = call
            self.use_cache = use_cache
            # Store the path to be able to re-generate a dependable from it in overrides
            self.path = path
            # Save the cache key at creation to optimize performance
    Python
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  4. docs/en/docs/release-notes.md

    ## 0.30.0
    
    * Add support for Pydantic's ORM mode:
        * Updated documentation about SQL with SQLAlchemy, using Pydantic models with ORM mode, SQLAlchemy models with relations, separation of files, simplification of code and other changes. New docs: [SQL (Relational) Databases](https://fastapi.tiangolo.com/tutorial/sql-databases/).
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  5. docs/en/docs/history-design-future.md

    <blockquote markdown="1">
    
    **FastAPI** wouldn't exist if not for the previous work of others.
    
    There have been many tools created before that have helped inspire its creation.
    
    I have been avoiding the creation of a new framework for several years. First I tried to solve all the features covered by **FastAPI** using many different frameworks, plug-ins, and tools.
    
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  6. docs/en/docs/features.md

    ## FastAPI features
    
    **FastAPI** gives you the following:
    
    ### Based on open standards
    
    * <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank"><strong>OpenAPI</strong></a> for API creation, including declarations of <abbr title="also known as: endpoints, routes">path</abbr> <abbr title="also known as HTTP methods, as POST, GET, PUT, DELETE">operations</abbr>, parameters, body requests, security, etc.
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  7. docs/en/docs/how-to/extending-openapi.md

    ## The normal process
    
    The normal (default) process, is as follows.
    
    A `FastAPI` application (instance) has an `.openapi()` method that is expected to return the OpenAPI schema.
    
    As part of the application object creation, a *path operation* for `/openapi.json` (or for whatever you set your `openapi_url`) is registered.
    
    It just returns a JSON response with the result of the application's `.openapi()` method.
    
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  8. docs/en/docs/tutorial/body-updates.md

    all the attributes, you need to have a model with all the attributes marked as optional (with default values or `None`).
    
        To distinguish from the models with all optional values for **updates** and models with required values for **creation**, you can use the ideas described in [Extra Models](extra-models.md){.internal-link target=_blank}....
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  9. docs/en/docs/tutorial/sql-databases.md

    A common pattern is to use an "ORM": an "object-relational mapping" library.
    
    An ORM has tools to convert ("*map*") between *objects* in code and database tables ("*relations*").
    
    With an ORM, you normally create a class that represents a table in a SQL database, each attribute of the class represents a column, with a name and a type.
    
    For example a class `Pet` could represent a SQL table `pets`.
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  10. docs/en/docs/advanced/settings.md

    But every time we do:
    
    ```Python
    Settings()
    ```
    
    a new `Settings` object would be created, and at creation it would read the `.env` file again.
    
    If the dependency function was just like:
    
    ```Python
    def get_settings():
        return Settings()
    ```
    
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