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docs/en/docs/features.md
All the framework was designed to be easy and intuitive to use, all the decisions were tested on multiple editors even before starting development, to ensure the best development experience. In the Python developer surveys, it's clear <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">that one of the most used features is "autocompletion"</a>.
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README.md
```Python item: Item ``` ...and with that single declaration you get: * Editor support, including: * Completion. * Type checks. * Validation of data: * Automatic and clear errors when the data is invalid. * Validation even for deeply nested JSON objects.
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docs/en/docs/index.md
```Python item: Item ``` ...and with that single declaration you get: * Editor support, including: * Completion. * Type checks. * Validation of data: * Automatic and clear errors when the data is invalid. * Validation even for deeply nested JSON objects.
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docs/en/docs/release-notes.md
@asynccontextmanager async def lifespan(app: FastAPI): # Load the ML model ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model yield # Clean up the ML models and release the resources ml_models.clear() app = FastAPI(lifespan=lifespan) @app.get("/predict") async def predict(x: float): result = ml_models["answer_to_everything"](x)
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