Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python

  The "source code" for a work means the preferred form of the work
for making modifications to it.  "Object code" means any non-source
form of a work.

  A "Standard Interface" means an interface that either is an official
standard defined by a recognized standards body, or, in the case of
interfaces specified for a particular programming language, one that
is widely used among developers working in that language.

O que normalmente faço é criar um diretório chamado `code` dentro do meu diretório home/user.

E dentro disso eu crio um diretório por projeto.

<div class="termy">

```console
// Vá para o diretório inicial
$ cd
// Crie um diretório para todos os seus projetos de código
$ mkdir code
// Entre nesse diretório de código
$ cd code
// Crie um diretório para este projeto
$ mkdir awesome-project

Así que esperas a que tu crush termine la historia (termine el trabajo ⏯ / tarea actual que se está procesando 🤓), sonríes amablemente y dices que vas por las hamburguesas ⏸.

Requests a un design très simple et intuitif, il est très facile à utiliser, avec des valeurs par défaut raisonnables, tout en étant très puissant et personnalisable.

C'est pourquoi, comme le dit le site officiel :

> Requests est l'un des packages Python les plus téléchargés de tous les temps

La façon dont vous l'utilisez est très simple. Par exemple, pour faire une requête `GET`, vous devez écrire :

```Python

*   TensorFlow Windows Build:

    *   Clang is now the default compiler to build TensorFlow CPU wheels on the
        Windows Platform starting with this release. The currently supported
        version is LLVM/clang 17. The official Wheels-published on PyPI will be
        based on Clang; however, users retain the option to build wheels using
        the MSVC compiler following the steps mentioned in

그런 경우에, 여러분들은 **Gunicorn**을 프로세스 매니저로 포함하는 **공식 도커 이미지**를 사용할 수 있습니다. 이 프로세스 매니저는 다중 **Uvicorn 워커 프로세스들**을 실행하며, 디폴트 세팅으로 현재 CPU 코어에 기반하여 자동으로 워커 개수를 조정합니다. 이 사항에 대해서는 아래의 [Gunicorn과 함께하는 공식 도커 이미지 - Uvicorn](#official-docker-image-with-gunicorn-uvicorn)에서 더 다루겠습니다.

이런 경우에 해당하는 몇가지 예시가 있습니다:

#### 단순한 앱

		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrClientDisconnected: {
		Code:           "ClientDisconnected",
		Description:    "Client disconnected before response was ready",
		HTTPStatusCode: 499, // No official code, use nginx value.
	},
	ErrTooManyRequests: {
		Code:           "TooManyRequests",
		Description:    "Please reduce your request rate",
		HTTPStatusCode: http.StatusTooManyRequests,
	},

directory in which you want MinIO to store data. ```sh brew install minio/stable/minio minio server /data ``` > NOTE: If you previously installed minio using `brew install minio` then it is recommended that you reinstall minio from `minio/stable/minio` official repo instead. ```sh brew uninstall minio brew install minio/stable/minio ``` The MinIO deployment starts using default root credentials `minioadmin:minioadmin`. You can test the deployment using the MinIO Console, an embedded web-based object browser...

- Kubectl: The deprecated `kubectl alpha debug` command is removed. Use `kubectl debug` instead. ([#98111](https://github.com/kubernetes/kubernetes/pull/98111), [@pandaamanda](https://github.com/pandaamanda)) [SIG CLI]