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docs/en/docs/tutorial/path-params.md
```Python hl_lines="6 11" {!../../../docs_src/path_params/tutorial003.py!} ``` Otherwise, the path for `/users/{user_id}` would match also for `/users/me`, "thinking" that it's receiving a parameter `user_id` with a value of `"me"`. Similarly, you cannot redefine a path operation: ```Python hl_lines="6 11"
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docs/en/docs/alternatives.md
Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask. !!! check "Inspired **FastAPI** to" Be a micro-framework. Making it easy to mix and match the tools and parts needed. Have a simple and easy to use routing system.
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docs/tr/docs/fastapi-people.md
{% endif %} {% endfor %} </div> {% endfor %} {% endif %} ## Veriler - Teknik detaylar Bu sayfanın temel amacı, topluluğun başkalarına yardım etme çabasını vurgulamaktır.
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docs/en/docs/reference/websockets.md
- iter_json - send_text - send_bytes - send_json - close When a client disconnects, a `WebSocketDisconnect` exception is raised, you can catch it. You can import it directly form `fastapi`: ```python from fastapi import WebSocketDisconnect ``` ::: fastapi.WebSocketDisconnect ## WebSockets - additional classes
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docs/en/docs/tutorial/security/oauth2-jwt.md
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docs/en/docs/release-notes.md
* **Talks**: * [PyConBY 2020: Serve ML models easily with FastAPI](https://www.youtube.com/watch?v=z9K5pwb0rt8) by [Sebastián Ramírez (tiangolo)](https://twitter.com/tiangolo). * [[VIRTUAL] Py.Amsterdam's flying Software Circus: Intro to FastAPI](https://www.youtube.com/watch?v=PnpTY1f4k2U) by [Sebastián Ramírez (tiangolo)](https://twitter.com/tiangolo).
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docs/en/docs/advanced/websockets.md
## Handling disconnections and multiple clients When a WebSocket connection is closed, the `await websocket.receive_text()` will raise a `WebSocketDisconnect` exception, which you can then catch and handle like in this example. === "Python 3.9+" ```Python hl_lines="79-81" {!> ../../../docs_src/websockets/tutorial003_py39.py!} ``` === "Python 3.8+"
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docs/en/docs/tutorial/query-params-str-validations.md
## Add regular expressions You can define a <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</abbr> `pattern` that the parameter should match: === "Python 3.10+" ```Python hl_lines="11" {!> ../../../docs_src/query_params_str_validations/tutorial004_an_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="11"
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docs/en/docs/tutorial/security/simple-oauth2.md
Let's put that data in the Pydantic `UserInDB` model first. You should never save plaintext passwords, so, we'll use the (fake) password hashing system. If the passwords don't match, we return the same error. #### Password hashing "Hashing" means: converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.
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docs/en/docs/async.md
That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others). To see how to achieve this parallelism in production see the section about [Deployment](deployment/index.md){.internal-link target=_blank}.
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