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docs/de/docs/python-types.md
Diese Typen mit inneren Typen werden „**generische**“ Typen genannt. Es ist möglich, sie mit ihren inneren Typen zu deklarieren. Um diese Typen und die inneren Typen zu deklarieren, können Sie Pythons Standardmodul `typing` verwenden. Es existiert speziell für die Unterstützung dieser Typhinweise. #### Neuere Python-Versionen
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docs/de/docs/index.md
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docs/es/docs/python-types.md
Todo **FastAPI** está basado en estos type hints, lo que le da muchas ventajas y beneficios. Pero, así nunca uses **FastAPI** te beneficiarás de aprender un poco sobre los type hints. /// note | Nota Si eres un experto en Python y ya lo sabes todo sobre los type hints, salta al siguiente capítulo.
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docs/pt/docs/python-types.md
O Python possui suporte para "dicas de tipo" ou "type hints" (também chamado de "anotações de tipo" ou "type annotations") Esses **"type hints"** são uma sintaxe especial que permite declarar o <abbr title = "por exemplo: str, int, float, bool">tipo</abbr> de uma variável. Ao declarar tipos para suas variáveis, editores e ferramentas podem oferecer um melhor suporte.
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docs/nl/docs/python-types.md
``` ### Generieke types met typeparameters Er zijn enkele datastructuren die andere waarden kunnen bevatten, zoals `dict`, `list`, `set` en `tuple` en waar ook de interne waarden hun eigen type kunnen hebben. Deze types die interne types hebben worden “**generieke**” types genoemd. Het is mogelijk om ze te declareren, zelfs met hun interne types.
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android/guava-tests/test/com/google/common/collect/FluentIterableTest.java
} private static class TypeA {} private interface TypeB {} private static class HasBoth extends TypeA implements TypeB {} @GwtIncompatible // Iterables.filter(Iterable, Class) public void testFilterByType() throws Exception { HasBoth hasBoth = new HasBoth(); FluentIterable<TypeA> alist = FluentIterable.from(asList(new TypeA(), new TypeA(), hasBoth, new TypeA()));
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docs/fr/docs/python-types.md
#### Types génériques Les types qui peuvent contenir des paramètres de types entre crochets, comme : * `List` * `Tuple` * `Set` * `Dict` * `Optional` * ...et d'autres. sont appelés des **types génériques** ou **Generics**. ### Classes en tant que types Vous pouvez aussi déclarer une classe comme type d'une variable.
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docs/tr/docs/python-types.md
Şimdi programı sıfırdan birdaha yazdığınızı hayal edin. Aynı noktada, `Ctrl+Space` ile otomatik tamamlamayı tetiklediniz ve şunu görüyorsunuz: <img src="/img/python-types/image02.png"> Aradığınızı bulana kadar seçenekleri kaydırabilirsiniz: <img src="/img/python-types/image03.png"> ## Daha fazla motivasyon Bu fonksiyon, zaten tür belirteçlerine sahip: ```Python hl_lines="1"
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docs/de/docs/tutorial/extra-data-types.md
* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>. ## Beispiel Hier ist ein Beispiel für eine *Pfadoperation* mit Parametern, die einige der oben genannten Typen verwenden. //// tab | Python 3.10+ ```Python hl_lines="1 3 12-16"
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docs/uk/docs/python-types.md
# Вступ до типів Python Python підтримує додаткові "підказки типу" ("type hints") (також звані "анотаціями типу" ("type annotations")). Ці **"type hints"** є спеціальним синтаксисом, що дозволяє оголошувати <abbr title="наприклад: str, int, float, bool">тип</abbr> змінної. За допомогою оголошення типів для ваших змінних, редактори та інструменти можуть надати вам кращу підтримку.
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