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tests/test_tutorial/test_query_params_str_validations/test_tutorial010_an.py
"operationId": "read_items_items__get", "parameters": [ { "description": "Query string for the items to search in the database that have a good match", "required": False, "deprecated": True, "schema": IsDict( {
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docs_src/query_params_str_validations/tutorial010.py
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docs/de/docs/project-generation.md
### Modelle für maschinelles Lernen mit spaCy und FastAPI – Funktionen * **spaCy** NER-Modellintegration. * **Azure Cognitive Search**-Anforderungsformat integriert. * **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn. * **Azure DevOps** Kubernetes (AKS) CI/CD-Deployment integriert.
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docs/fr/docs/project-generation.md
## Modèles d'apprentissage automatique avec spaCy et FastAPI - Fonctionnalités * Intégration d'un modèle NER **spaCy**. * Formatage de requête pour **Azure Cognitive Search**. * Serveur Python web **prêt à utiliser en production** utilisant Uvicorn et Gunicorn. * Déploiement CI/CD Kubernetes pour **Azure DevOps** (AKS).
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docs/fr/docs/history-design-future.md
## Futur À ce stade, il est déjà clair que **FastAPI** et ses idées sont utiles pour de nombreuses personnes. Elle a été préférée aux solutions précédentes parce qu'elle convient mieux à de nombreux cas d'utilisation. De nombreux développeurs et équipes dépendent déjà de **FastAPI** pour leurs projets (y compris moi et mon équipe).
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docs/en/docs/contributing.md
* However, when a Markdown document is translated, the `#hash-parts` in links to its headings may change. Update these links if possible. * Search for such links in the translated document using the regex `#[^# ]`. * Search in all documents already translated into your language for `your-translated-document.md`. For example VS Code has an option "Edit" -> "Find in Files".
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docs/en/docs/tutorial/testing.md
```Python {!> ../../../docs_src/app_testing/app_b/test_main.py!} ``` Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `httpx`, or even how to do it with `requests`, as HTTPX's design is based on Requests' design. Then you just do the same in your tests. E.g.:
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docs/en/docs/alternatives.md
It is used by many companies including Mozilla, Red Hat and Eventbrite. It was one of the first examples of **automatic API documentation**, and this was specifically one of the first ideas that inspired "the search for" **FastAPI**. !!! note Django REST Framework was created by Tom Christie. The same creator of Starlette and Uvicorn, on which **FastAPI** is based. !!! check "Inspired **FastAPI** to"
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docs/en/docs/advanced/generate-clients.md
There are also several other companies offering similar services that you can search and find online. 🤓 ## Generate a TypeScript Frontend Client Let's start with a simple FastAPI application: === "Python 3.9+" ```Python hl_lines="7-9 12-13 16-17 21"
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docs/em/docs/tutorial/query-params-str-validations.md
{!> ../../../docs_src/query_params_str_validations/tutorial003_py310.py!} ``` ## 🚮 🥔 🧬 👆 💪 🔬 <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">🥔 🧬</abbr> 👈 🔢 🔜 🏏: === "🐍 3️⃣.6️⃣ & 🔛" ```Python hl_lines="11" {!> ../../../docs_src/query_params_str_validations/tutorial004.py!} ```
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