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docs/en/docs/tutorial/first-steps.md
Normally you use: * `POST`: to create data. * `GET`: to read data. * `PUT`: to update data. * `DELETE`: to delete data. So, in OpenAPI, each of the HTTP methods is called an "operation". We are going to call them "**operations**" too. #### Define a *path operation decorator* ```Python hl_lines="6" {!../../../docs_src/first_steps/tutorial001.py!} ```
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docs/en/docs/python-types.md
# Python Types Intro Python has support for optional "type hints" (also called "type annotations"). These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable. By declaring types for your variables, editors and tools can give you better support.
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fastapi/param_functions.py
A "dependable" callable (like a function). Don't call it directly, FastAPI will call it for you, just pass the object directly. """ ), ] = None, *, use_cache: Annotated[ bool, Doc( """ By default, after a dependency is called the first time in a request, if
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docs/en/docs/alternatives.md
The main feature I wanted from Django REST Framework was the automatic API documentation. Then I found that there was a standard to document APIs, using JSON (or YAML, an extension of JSON) called Swagger. And there was a web user interface for Swagger APIs already created. So, being able to generate Swagger documentation for an API would allow using this web user interface automatically.
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docs/en/docs/deployment/manually.md
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docs/en/docs/advanced/generate-clients.md
One particular advantage that is not necessarily obvious is that you can **generate clients** (sometimes called <abbr title="Software Development Kits">**SDKs**</abbr> ) for your API, for many different **programming languages**. ## OpenAPI Client Generators There are many tools to generate clients from **OpenAPI**.
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docs/en/docs/advanced/sub-applications.md
### Technical Details: `root_path` When you mount a sub-application as described above, FastAPI will take care of communicating the mount path for the sub-application using a mechanism from the ASGI specification called a `root_path`. That way, the sub-application will know to use that path prefix for the docs UI.
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docs/en/docs/how-to/async-sql-encode-databases.md
## Create notes Create the *path operation function* to create notes: ```Python hl_lines="61-65" {!../../../docs_src/async_sql_databases/tutorial001.py!} ``` !!! info In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.
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docs/en/docs/tutorial/response-model.md
```JSON { "name": "Foo", "price": 50.2 } ``` !!! info In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.
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docs/en/docs/deployment/concepts.md
* A particular program while it is **running** on the operating system, using the CPU, and storing things on memory. This is also called a **process**. ### What is a Process The word **process** is normally used in a more specific way, only referring to the thing that is running in the operating system (like in the last point above):
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