Designed for speed and scalability, it powers AI/ML, analytics, and data-intensive workloads with industry-leading performance.

- S3 API Compatible – Seamless integration with existing S3 tools
- Built for AI & Analytics – Optimized for large-scale data pipelines
- High Performance – Ideal for demanding storage workloads.

* `value`: Dies ist das tatsächlich angezeigte Beispiel, z. B. ein `dict`.
* `externalValue`: Alternative zu `value`, eine URL, die auf das Beispiel verweist. Allerdings wird dies möglicherweise nicht von so vielen Tools unterstützt wie `value`.

Sie können es so verwenden:

{* ../../docs_src/schema_extra_example/tutorial005_an_py310.py hl[23:49] *}

	"crypto/tls"
	"crypto/x509"
	"encoding/json"
	"errors"
	"fmt"
	"log"
	"os"
	"path/filepath"
	"sync"
	"sync/atomic"
	"time"

	"github.com/IBM/sarama"
	saramatls "github.com/IBM/sarama/tools/tls"

	xioutil "github.com/minio/minio/internal/ioutil"
	types "github.com/minio/minio/internal/logger/target/loggertypes"
	"github.com/minio/minio/internal/once"
	"github.com/minio/minio/internal/store"

En las encuestas a desarrolladores de Python, es claro <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">que una de las funcionalidades más usadas es el "autocompletado"</a>.

Todo el framework **FastAPI** está basado para satisfacer eso. El autocompletado funciona en todas partes.

But once you know the basic information of **HTTPS for developers** you can easily combine and configure different tools to help you manage everything in a simple way.

Na pesquisa de desenvolvedores Python, ficou claro <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">que um dos recursos mais utilizados é o "preenchimento automático"</a>.

///

### 编辑器支持

整个框架都被设计得易于使用且直观，所有的决定都在开发之前就在多个编辑器上进行了测试，来确保最佳的开发体验。

在最近的 Python 开发者调查中，我们能看到 <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank"> 被使用最多的功能是"自动补全"</a>。

整个 **FastAPI** 框架就是基于这一点的。任何地方都可以进行自动补全。

你几乎不需要经常回来看文档。

在这里，你的编辑器可能会这样帮助你：

	h.Modified = t
	h.ModifiedDate, h.ModifiedTime = timeToMsDosTime(t)
}

const (
	// Unix constants. The specification doesn't mention them,
	// but these seem to be the values agreed on by tools.
	s_IFMT   = 0xf000
	s_IFSOCK = 0xc000
	s_IFLNK  = 0xa000
	s_IFREG  = 0x8000
	s_IFBLK  = 0x6000
	s_IFDIR  = 0x4000
	s_IFCHR  = 0x2000
	s_IFIFO  = 0x1000
	s_ISUID  = 0x800
	s_ISGID  = 0x400

* `internal`: Internal
    * Use this for changes that only affect how the repo is managed. For example upgrades to internal dependencies, changes in GitHub Actions or scripts, etc.

/// tip

Some tools like Dependabot, will add some labels, like `dependencies`, but have in mind that this label is not used by the `latest-changes` GitHub Action, so it won't be used in the release notes. Please make sure one of the labels above is added.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

/// tip