}
    ]
}
{
    "title": "The Robots of Dawn",
    "authorInfo": {
        "name": "Isaac Asimov",
        "yearRange": [1920, 1992],
        "penName": "Paul French"
    },
    "genre": "Science fiction",
    "publicationHistory": [
        {
            "year": 1983,
            "publisher": "Phantasia Press",
            "type": "Hardcover",
            "pages": 336
        },
        {

}

var tokens map[string]Resp = map[string]Resp{
	"aaa": {
		User:               "Alice",
		MaxValiditySeconds: 3600,
		Claims: map[string]interface{}{
			"groups": []string{"data-science"},
		},
	},
	"bbb": {
		User:               "Bart",
		MaxValiditySeconds: 3600,
		Claims: map[string]interface{}{
			"groups": []string{"databases"},
		},
	},
}

        testData.add(createRelatedQuery("java", new String[] { "programming", "tutorial" }, ""));
        testData.add(createRelatedQuery("python", new String[] { "scripting", "data science" }, ""));
        mockBhv.setTestData(testData);

        int count = relatedQueryHelper.load();
        assertEquals(1, count); // One virtual host key (empty)

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bronze:
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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).

* etc.

* `foo` as an `int`
* `bar` as a `str`
* `baz` as a `list`

* the Tutorial - User guide
* the Advanced User Guide
* the SQLModel docs
* the API docs
* the automatic docs

* Data Science
* Deep Learning
* Machine Learning
* Dependency Injection
* HTTP Basic authentication
* HTTP Digest
* ISO format
* the JSON Schema standard
* the JSON schema
* the schema definition

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[Other sponsors](https://fastapi.tiangolo.com/fastapi-people/#sponsors)

## Opinions

Плюс к этому простой факт, что Python — основной язык для **Data Science**, Машинного обучения и особенно Глубокого обучения, делает FastAPI очень хорошим выбором для веб-API и приложений в области Data Science / Машинного обучения (среди многих других).

Как добиться такого параллелизма в продакшн, см. раздел [Развёртывание](deployment/index.md).

* `baz` vom Typ `list`

* das Tutorial – Benutzerhandbuch
* das Handbuch für fortgeschrittene Benutzer
* die SQLModel-Dokumentation
* die API-Dokumentation
* die automatische Dokumentation

* Data Science
* Deep Learning
* Machine Learning
* Dependency Injection
* HTTP Basic-Authentifizierung
* HTTP Digest
* ISO-Format
* der JSON-Schema-Standard
* das JSON-Schema
* die Schema-Definition

Ça, ajouté au fait que Python soit le langage le plus populaire pour la **Data Science**, le **Machine Learning** et surtout le **Deep Learning**, font de **FastAPI** un très bon choix pour les APIs et applications de **Data Science** / **Machine Learning**.

Pour comprendre comment mettre en place ce parallélisme en production, allez lire la section [Déploiement](deployment/index.md).