* **Egyszerű**: Egyszerű tanulásra és használatra tervezve. Kevesebb dokumentáció olvasással töltött idő.
* **Rövid**: Kód duplikáció minimalizálása. Több funkció minden paraméter deklarálásával. Kevesebb hiba.
* **Robosztus**: Production ready kód. Automatikus interaktív dokumentáció val.

     * authentication).
     */
    public static final int NTLMSSP_TARGET_TYPE_SHARE = 0x00040000;

    /**
     * Indicates that the NTLM2 signing and sealing scheme should be used
     * for protecting authenticated communications. This refers to a
     * particular session security scheme, and is not related to the use
     * of NTLMv2 authentication.
     */

</p>
<p align="center">
    FastAPI framework, high performance, easy to learn, fast to code, ready for production
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">

 │                          │
 ╰──────────────────────────╯

<font color="#3465A4">INFO    </font> Using import string <font color="#8AE234"><b>main:app</b></font>

 <font color="#4E9A06">╭─────────── FastAPI CLI - Production mode ───────────╮</font>
 <font color="#4E9A06">│                                                     │</font>
 <font color="#4E9A06">│  Serving at: http://0.0.0.0:8000                    │</font>

and retrieval of the plugin dependencies so during development we would translate the POMs into dependency information that Mercury can understand, and in production we would have the pre-digested format that Mercury could utilize to resolve and retrieve dependencies. We need to be careful that we are using Mercury during development and production so that we don’t get in the situation where Maven 2.x is resolving differently than Mercury is. We can still leverage POMs during development but we need...

TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for machine learning research. In this paper, we describe the TensorFlow dataflow model and demonstrate the compelling performance that TensorFlow achieves for several...

In particular access to the security-critical production components (root CA, policy, control)
should be locked down and restricted.  The new installer allows multiple instances of
policy/control/telemetry - so testing/staging of new settings and versions can be performed
by a different role than the prod version.

The intended users of this repo are users running Istio in production who want to select, tune

        }
    }
}

/**
 * Tasks that are called by the (currently separate) promotion build running on CI.
 */
tasks.register("promotionBuild") {
    description = "Build production distros, smoke test them and publish"
    group = "publishing"
    dependsOn(":packageBuild", ":publishBuildLogic", "publish")

/// note

Bạn cũng có thể cài đặt nó từng phần.

Đây là những gì bạn có thể sẽ làm một lần duy nhất bạn muốn triển khai ứng dụng của bạn lên production:

```
pip install fastapi
```

Cũng cài đặt `uvicorn` để làm việc như một server:

```
pip install "uvicorn[standard]"
```

Và tương tự với từng phụ thuộc tùy chọn mà bạn muốn sử dụng.

Upgrade Checklist - Test all upgrades in a lower environment (DEV, QA, UAT) before applying to production. Performing blind upgrades in production environments carries significant risk. - Read the release notes for MinIO *before* performing any upgrade, there is no forced requirement to upgrade to latest release upon every release. Some release may not be relevant to your setup, avoid upgrading production environments unnecessarily. - If you plan to use `mc admin update`, MinIO process must have write...