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docs/de/docs/tutorial/query-params-str-validations.md
### `Query` und `Annotated` importieren Importieren Sie zuerst: * `Query` von `fastapi` * `Annotated` von `typing` (oder von `typing_extensions` in Python unter 3.9) === "Python 3.10+" In Python 3.9 oder darüber, ist `Annotated` Teil der Standardbibliothek, also können Sie es von `typing` importieren. ```Python hl_lines="1 3" {!> ../../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
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docs/bn/docs/index.md
<div class="termy"> ```console $ pip install "uvicorn[standard]" ---> 100% ``` </div> ## উদাহরণ ### তৈরি - `main.py` নামে একটি ফাইল তৈরি করুন: ```Python from typing import Union from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}")
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docs/en/docs/tutorial/bigger-applications.md
* Path `prefix`: `/items`. * `tags`: (just one tag: `items`). * Extra `responses`. * `dependencies`: they all need that `X-Token` dependency we created. So, instead of adding all that to each *path operation*, we can add it to the `APIRouter`. ```Python hl_lines="5-10 16 21" title="app/routers/items.py" {!../../../docs_src/bigger_applications/app/routers/items.py!} ```
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docs/en/docs/release-notes.md
* Processing a response after being generated by *path operation functions* but before returning it. E.g. adding custom headers, logging, adding extra metadata. * New docs section: [Custom Request and APIRoute class](https://fastapi.tiangolo.com/advanced/custom-request-and-route/).
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docs/en/docs/deployment/concepts.md
We, as humans, make **mistakes**, all the time. Software almost *always* has **bugs** hidden in different places. 🐛 And we as developers keep improving the code as we find those bugs and as we implement new features (possibly adding new bugs too 😅). ### Small Errors Automatically Handled When building web APIs with FastAPI, if there's an error in our code, FastAPI will normally contain it to the single request that triggered the error. 🛡
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docs/ja/docs/features.md
* Pydanticのデータ構造は、ユーザーが定義するクラスの単なるインスタンスであるため、オートコンプリート、リンティング、mypy、およびユーザーの直感はすべて、検証済みのデータで適切に機能するはずです。 * **複雑な構造**を検証: * 階層的なPydanticモデルや、Pythonの「`typing`」の「`list`」と「`dict`」などの利用。 * バリデーターにより、複雑なデータスキーマを明確かつ簡単に定義、チェックし、JSONスキーマとして文書化できます。 * 深く**ネストされたJSON**オブジェクトを作成し、それらすべてを検証してアノテーションを付けることができます。 * **拡張可能**:
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docs/ko/docs/deployment/docker.md
나중에 아래 세션에서 Poetry를 사용한 예시를 보이겠습니다. 👇 ### **FastAPI** 코드 생성하기 * `app` 디렉터리를 생성하고 이동합니다. * 빈 파일 `__init__.py`을 생성합니다. * 다음과 같은 `main.py`을 생성합니다: ```Python from typing import Union from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}")
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docs/en/docs/tutorial/extra-models.md
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docs/ru/docs/tutorial/extra-models.md
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docs/em/docs/python-types.md
👉 🆎 👈 ✔️ 🔗 🆎 🤙 "**💊**" 🆎. & ⚫️ 💪 📣 👫, ⏮️ 👫 🔗 🆎. 📣 👈 🆎 & 🔗 🆎, 👆 💪 ⚙️ 🐩 🐍 🕹 `typing`. ⚫️ 🔀 🎯 🐕🦺 👫 🆎 🔑. #### 🆕 ⏬ 🐍 ❕ ⚙️ `typing` **🔗** ⏮️ 🌐 ⏬, ⚪️➡️ 🐍 3️⃣.6️⃣ ⏪ 🕐, ✅ 🐍 3️⃣.9️⃣, 🐍 3️⃣.1️⃣0️⃣, ♒️. 🐍 🏧, **🆕 ⏬** 👟 ⏮️ 📉 🐕🦺 👉 🆎 ✍ & 📚 💼 👆 🏆 🚫 💪 🗄 & ⚙️ `typing` 🕹 📣 🆎 ✍. 🚥 👆 💪 ⚒ 🌖 ⏮️ ⏬ 🐍 👆 🏗, 👆 🔜 💪 ✊ 📈 👈 ➕ 🦁. 👀 🖼 🔛. #### 📇
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