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  1. docs/zh-hant/docs/features.md

    ![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)
    
    
    ### 現代 Python
    
    這一切都基於標準的 **Python 型別**宣告(感謝 Pydantic)。無需學習新的語法,只需使用標準的現代 Python。
    
    如果你需要 2 分鐘來學習如何使用 Python 型別(即使你不使用 FastAPI),可以看看這個簡短的教學:[Python 型別](python-types.md){.internal-link target=_blank}。
    
    如果你寫帶有 Python 型別的程式碼:
    
    ```python
    from datetime import date
    
    from pydantic import BaseModel
    
    # 宣告一個變數為 string
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Tue Dec 10 10:48:41 UTC 2024
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  2. .github/workflows/label-approved.yml

        steps:
        - name: Dump GitHub context
          env:
            GITHUB_CONTEXT: ${{ toJson(github) }}
          run: echo "$GITHUB_CONTEXT"
        - uses: actions/checkout@v5
        - name: Set up Python
          uses: actions/setup-python@v5
          with:
            python-version: "3.11"
        - name: Setup uv
          uses: astral-sh/setup-uv@v6
          with:
            version: "0.4.15"
            enable-cache: true
            cache-dependency-glob: |
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Fri Aug 15 21:44:06 UTC 2025
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  3. .github/workflows/topic-repos.yml

          - name: Dump GitHub context
            env:
              GITHUB_CONTEXT: ${{ toJson(github) }}
            run: echo "$GITHUB_CONTEXT"
          - uses: actions/checkout@v5
          - name: Set up Python
            uses: actions/setup-python@v5
            with:
              python-version: "3.11"
          - name: Setup uv
            uses: astral-sh/setup-uv@v6
            with:
              version: "0.4.15"
              enable-cache: true
              cache-dependency-glob: |
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Fri Aug 15 21:44:06 UTC 2025
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  4. docs/en/docs/advanced/security/http-basic-auth.md

    And they send a request with a username `johndoe` and a password `love123`.
    
    Then the Python code in your application would be equivalent to something like:
    
    ```Python
    if "johndoe" == "stanleyjobson" and "love123" == "swordfish":
        ...
    ```
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:15:41 UTC 2025
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  5. docs/em/docs/tutorial/query-params-str-validations.md

    :
    
    ```Python
    q: Union[str, None] = Query(default=None)
    ```
    
    ...⚒ 🔢 📦, 🎏:
    
    ```Python
    q: Union[str, None] = None
    ```
    
    & 🐍 3️⃣.1️⃣0️⃣ & 🔛:
    
    ```Python
    q: str | None = Query(default=None)
    ```
    
    ...⚒ 🔢 📦, 🎏:
    
    ```Python
    q: str | None = None
    ```
    
    ✋️ ⚫️ 📣 ⚫️ 🎯 💆‍♂ 🔢 🔢.
    
    /// info
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sat Feb 15 16:23:59 UTC 2025
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  6. docs/en/docs/tutorial/encoder.md

    The result of calling it is something that can be encoded with the Python standard <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.
    
    It doesn't return a large `str` containing the data in JSON format (as a string). It returns a Python standard data structure (e.g. a `dict`) with values and sub-values that are all compatible with JSON.
    
    /// note
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:15:41 UTC 2025
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  7. docs/pt/docs/tutorial/encoder.md

    O resultado de chamar a função é algo que pode ser codificado com o padrão do Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.
    
    A função não retorna um grande `str` contendo os dados no formato JSON (como uma string). Mas sim, retorna uma estrutura de dados padrão do Python (por exemplo, um `dict`) com valores e subvalores compatíveis com JSON.
    
    /// note | Nota
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Mon Nov 18 02:25:44 UTC 2024
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  8. tensorflow/BUILD

    load(
        "//tensorflow/python/tools/api/generator:api_gen.bzl",
        "get_compat_files",
        "get_nested_compat_files",
    )
    load(
        "//tensorflow/python/tools/api/generator:api_init_files.bzl",
        "TENSORFLOW_API_INIT_FILES",
    )
    load(
        "//tensorflow/python/tools/api/generator:api_init_files_v1.bzl",
        "TENSORFLOW_API_INIT_FILES_V1",
    )
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Thu Aug 28 19:11:51 UTC 2025
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    - Viewed (0)
  9. docs/zh-hant/docs/async.md

    這一點,再加上 Python 是 **資料科學**、機器學習,尤其是深度學習的主要語言,讓 **FastAPI** 成為資料科學/機器學習 Web API 和應用程式(以及許多其他應用程式)的絕佳選擇。
    
    想了解如何在生產環境中實現這種平行性,請參見 [部屬](deployment/index.md){.internal-link target=_blank}。
    
    ## `async` 和 `await`
    
    現代 Python 版本提供一種非常直觀的方式定義非同步程式碼。這使得它看起來就像正常的「順序」程式碼,並在適當的時機「等待」。
    
    當某個操作需要等待才能回傳結果,並且支援這些新的 Python 特性時,你可以像這樣編寫程式碼:
    
    ```Python
    burgers = await get_burgers(2)
    ```
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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  10. docs/bn/docs/index.md

    আপনি সেটি আধুনিক পাইথনের সাথে করেন।
    
    আপনাকে নতুন করে নির্দিষ্ট কোন লাইব্রেরির বাক্য গঠন, ফাংশন বা ক্লাস কিছুই শিখতে হচ্ছে না।
    
    শুধুই আধুনিক **Python 3.6+**
    
    উদাহরণস্বরূপ, `int` এর জন্য:
    
    ```Python
    item_id: int
    ```
    
    অথবা আরও জটিল `Item` মডেলের জন্য:
    
    ```Python
    item: Item
    ```
    
    ...এবং সেই একই ঘোষণার সাথে আপনি পাবেন:
    
    - এডিটর সাহায্য, যেমন
      - সমাপ্তি।
      - ধরণ যাচাই
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 10:49:48 UTC 2025
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