* Sicherheit und Authentifizierung, einschließlich Unterstützung für **OAuth2** mit **JWT-Tokens** und **HTTP-Basic**-Authentifizierung.
* Fortgeschrittenere (aber ebenso einfache) Techniken zur Deklaration **tief verschachtelter JSON-Modelle** (dank Pydantic).
* **GraphQL** Integration mit <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> und anderen Bibliotheken.
* Viele zusätzliche Funktionen (dank Starlette) wie:

In general, the simplest consumption form in the Java ecosystem is that when `A` depends on `B`, then `A` would depend on the `jar` produced by project `B`.
As previously described in this chapter, this is modeled by `A` depending on a _variant of_ `B`, where the variant is selected based on the needs of `A`.
For compilation, we need the API dependencies of `B`, provided by the `apiElements` variant.

### NextIteration: `tf_executor.NextIteration.Source` and `tf_executor.NextIteration.Sink` Operation

The TensorFlow
[`NextIteration`](https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/next-iteration)
op is modeled using these two paired operations. Since _NextIteration_ is
intended for modeling the loop back-edges, breaking it in two different
operations allows to keep a structural

  // Private since it is in general unsafe.
  explicit String(TaggedValue v) : Handle(std::move(v)) {}
  template <class T>
  friend tensorflow::StatusOr<T> Cast(Handle handle);
};

/// @brief The `Object` class modeled after Python "objects".
///
/// An `Object` uses a TaggedValue dictionary to store its attributes. The
/// "__parent__" attribute is reserved.
class Object : public Handle {
 public:

// corresponding heapArena for that address space, are eternally reserved for use as
// arena chunks. That is, they can never be used for the general heap. Each chunk
// is also represented by a single mspan, and is modeled as a single large heap
// allocation. It must be, because each chunk contains ordinary Go values that may
// point into the heap, so it must be scanned just like any other object. Any

* **Derin Öğrenme**: Bu, Makine Öğreniminin bir alt alanıdır, dolayısıyla aynısı geçerlidir. Sadece çarpılacak tek bir sayı tablosu değil, büyük bir sayı kümesi vardır ve çoğu durumda bu modelleri oluşturmak ve/veya kullanmak için özel işlemciler kullanırsınız.

### Eşzamanlılık + Paralellik: Web + Makine Öğrenimi

		if err != nil {
			return err
		}
		unstructuredOut.SetUnstructuredContent(content)
		return nil

	case okIn:
		// converting an unstructured object to any type is modeled by first converting
		// the input to a versioned type, then running standard conversions
		typed, err := s.unstructuredToTyped(unstructuredIn)
		if err != nil {
			return err
		}
		in = typed
	}

            </tr>
        </table>
    </section>

    <section>
        <title>Test types</title>
        <para>Listed below are the tasks and configurable objects related to modeled Test Suites:</para>
        <table>
            <title>Test types</title>
            <tr>
                <td>org.gradle.testing.base.TestingExtension</td>
            </tr>
            <tr>

İç içe geçen derin modelleri pek iyi işleyemiyor. Yani eğer istekteki JSON gövdesi derin bir JSON objesiyse düzgün bir şekilde dökümante edilip doğrulanamıyor.

!!! check "**FastAPI**'a nasıl ilham oldu?"

Es kann nicht sehr gut mit verschachtelten Modellen umgehen. Wenn es sich beim JSON-Body in der Anfrage also um ein JSON-Objekt mit inneren Feldern handelt, die wiederum verschachtelte JSON-Objekte sind, kann er nicht richtig dokumentiert und validiert werden.