Hierbei können Sie **Typannotationen** genauso verwenden, wie Sie es bei Werten von Funktions-**Parametern** machen; verwenden Sie Pydantic-Modelle, Listen, Dicts und skalare Werte wie Nummern, Booleans, usw.

=== "Python 3.10+"

    ```Python hl_lines="16  21"
    {!> ../../../docs_src/response_model/tutorial001_01_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="18  23"

    * [Path Parameters and Numeric Validations - Order the parameters as you need, tricks](https://fastapi.tiangolo.com/tutorial/path-params-numeric-validations/#order-the-parameters-as-you-need-tricks)
        * [Better with `Annotated`](https://fastapi.tiangolo.com/tutorial/path-params-numeric-validations/#better-with-annotated)

    response = client.post("/", json={"numbers": [1, 2, 3]})
    assert response.json() == IsDict(
        {
            "detail": {
                "errors": [
                    {
                        "type": "list_type",
                        "loc": ["body"],
                        "msg": "Input should be a valid list",
                        "input": {"numbers": [1, 2, 3]},
                    }
                ],

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(

```Python hl_lines="1"
async def get_burgers(number: int):
    # burgerleri oluşturmak için asenkron birkaç iş
    return burgers
```

...`def` yerine:

```Python hl_lines="2"
# bu kod asenkron değil
def get_sequential_burgers(number: int):
    # burgerleri oluşturmak için senkron bırkaç iş
    return burgers
```

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(

    - uses: docker://tiangolo/label-approved:0.0.4
      with:
        token: ${{ secrets.FASTAPI_LABEL_APPROVED }}
        config: >
          {
            "approved-1":
              {
                "number": 1,
                "await_label": "awaiting-review"
              }

                                "schema": {
                                    "title": "Weights",
                                    "type": "object",
                                    "additionalProperties": {"type": "number"},
                                }
                            }
                        },
                        "required": True,
                    },
                }
            }
        },

    - tutorial/index.md
    - tutorial/first-steps.md
    - tutorial/path-params.md
    - tutorial/query-params.md
    - tutorial/body.md
    - tutorial/query-params-str-validations.md
    - tutorial/path-params-numeric-validations.md
    - tutorial/body-multiple-params.md
    - tutorial/body-fields.md
    - tutorial/body-nested-models.md
    - tutorial/schema-extra-example.md
    - tutorial/extra-data-types.md

* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.
    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.
    * UUID.
    * ...and others.