* Seriously impressive performance. It is <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">one of the fastest Python frameworks available, on par with **NodeJS** and **Go**</a>.
* **WebSocket** support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.

Seine Schlüssel-Merkmale sind:

* **Schnell**: Sehr hohe Leistung, auf Augenhöhe mit **NodeJS** und **Go** (Dank Starlette und Pydantic). [Eines der schnellsten verfügbaren Python-Frameworks](#performanz).

* **Schnell zu programmieren**: Erhöhen Sie die Geschwindigkeit bei der Entwicklung von Funktionen um etwa 200 % bis 300 %. *

-with-fastapi-and-aws-cognito-1333f7f2729e title: JWT Authentication with FastAPI and AWS Cognito - author: Ankush Thakur author_link: https://geekflare.com/author/ankush/ link: https://geekflare.com/python-asynchronous-web-frameworks/ title: Top 5 Asynchronous Web Frameworks for Python - author: Nico Axtmann author_link: https://www.linkedin.com/in/nico-axtmann link: https://medium.com/@nico.axtmann95/deploying-a-scikit-learn-model-with-onnx-und-fastapi-1af398268915 title: Deploying a scikit-learn...

#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor_reference.h"
#include "tensorflow/core/platform/logging.h"

namespace tensorflow {

namespace {

// Managing context for the DLManagedTensor, will manage the lifetime of
// DLManagedTensor. When calling DLManagedTensor::deleter, it will notify the
// original framework of destruction, and this context will be deleted also.

development.here = true

# The title of environment (e.g. local or integration or production)
environment.title = Local Development

# Does it enable the Framework internal debug? (true only when emergency)
framework.debug = false

# one day: 86400000, three days: 259200000, five days: 432000000, one week: 604800000, one year: 31556926000

* Desempeño realmente impresionante. Es uno <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank"> de los frameworks de Python más rápidos, a la par con **NodeJS** y **Go**</a>.
* Soporte para **WebSocket**.

#include "tensorflow/core/framework/op_gen_lib.h"
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
#include "tensorflow/core/common_runtime/graph_constructor.h"
#include "tensorflow/core/common_runtime/shape_refiner.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/graph/graph.h"

#ifndef TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_

#include "absl/container/inlined_vector.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Attributes of an op.
class AbstractOpAttrs {
 protected:

Cała struktura frameworku **FastAPI** jest na tym oparta. Autouzupełnianie działa wszędzie.

Rzadko będziesz musiał wracać do dokumentacji.

Oto, jak twój edytor może Ci pomóc:

* Titiz bir çalışmanın sonucunda yukarıdaki standartlara uygun bir framework oluşturduk. Standartları pastanın üzerine sonradan eklenmiş bir çilek olarak görmedik.
* Ayrıca bu bir çok dilde kullanılabilecek **client code generator** kullanımına da izin veriyor.

### Otomatik dokümantasyon