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

Plus tard, pour votre application de production, vous voudrez peut-être utiliser un serveur de base de données comme **PostgreSQL**.

/// tip | Astuce

Il existe un générateur de projet officiel avec **FastAPI** et **PostgreSQL**, incluant un frontend et plus d'outils : [https://github.com/fastapi/full-stack-fastapi-template](https://github.com/fastapi/full-stack-fastapi-template)

///

você espera seu _crush_ terminar a história que estava contando (terminar o trabalho atual ⏯ / tarefa sendo processada 🤓), sorri gentilmente e diz que você está indo buscar os hambúrgueres ⏸.

Então você vai ao balcão 🔀, para a tarefa inicial que agora está finalizada ⏯, pega os hambúrgueres, agradece, e leva-os para a mesa. Isso finaliza esse passo / tarefa da interação com o balcão ⏹. Isso, por sua vez, cria uma nova tarefa, a de "comer hambúrgueres" 🔀 ⏯, mas a tarefa anterior de "pegar...

  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

themselves can be written in either Java or with a YAML based DSL.

YAML based REST tests should be preferred since these are shared between all
the elasticsearch official clients. The YAML based tests describe the
operations to be executed and the obtained results that need to be tested.

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

- 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]