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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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docs/en/docs/alternatives.md
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docs/fr/docs/history-design-future.md
<blockquote markdown="1"> **FastAPI** n'existerait pas sans le travail antérieur d'autres personnes. Il y a eu de nombreux outils créés auparavant qui ont contribué à inspirer sa création.
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docs/en/docs/tutorial/path-params.md
```Python hl_lines="7" {!../../../docs_src/path_params/tutorial002.py!} ``` In this case, `item_id` is declared to be an `int`. !!! check This will give you editor support inside of your function, with error checks, completion, etc. ## Data <abbr title="also known as: serialization, parsing, marshalling">conversion</abbr>
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docs/en/docs/tutorial/body-fields.md
# Body - Fields The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`. ## Import `Field` First, you have to import it: === "Python 3.10+" ```Python hl_lines="4" {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!} ``` === "Python 3.9+"
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docs/en/docs/contributing.md
!!! note "Technical Details" This only happens when you install using this included `requirements.txt` instead of running `pip install fastapi` directly. That is because inside the `requirements.txt` file, the local version of FastAPI is marked to be installed in "editable" mode, with the `-e` option. ### Format the code There is a script that you can run that will format and clean all your code:
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docs/en/docs/tutorial/security/get-current-user.md
```Python hl_lines="31" {!> ../../../docs_src/security/tutorial002.py!} ``` Notice that we declare the type of `current_user` as the Pydantic model `User`. This will help us inside of the function with all the completion and type checks. !!! tip You might remember that request bodies are also declared with Pydantic models.
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docs/en/docs/deployment/manually.md
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docs/vi/docs/features.md
Bạn viết chuẩn Python với kiểu dữ liệu như sau: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` Sau đó có thể được sử dụng: ```Python
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docs/it/docs/index.md
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