case, it could be better to have only 2 servers and use a higher percentage of their resources (CPU, memory, disk, network bandwidth, etc).

On the other hand, if you have 2 servers and you are using **100% of their CPU and RAM**, at some point one process will ask for more memory, and the server will have to use the disk as "memory" (which can be thousands of times slower), or even **crash**. Or one process might need to do some computation and would have to wait until the CPU is free again....

* 📝 Review and rewording of `en/docs/contributing.md`. PR [#10480](https://github.com/tiangolo/fastapi/pull/10480) by [@nilslindemann](https://github.com/nilslindemann).

    # TODO: needed by asyncio in Python 3.9.7 https://bugs.python.org/issue45097, try to remove on 3.9.8
    'ignore:The loop argument is deprecated since Python 3\.8, and scheduled for removal in Python 3\.10:DeprecationWarning:asyncio',
    'ignore:starlette.middleware.wsgi is deprecated and will be removed in a future release\..*:DeprecationWarning:starlette',
    # TODO: remove after upgrading HTTPX to a version newer than 0.23.0

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"_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"

## Opiniones

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

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And then, Docker will be able to **use the cache for the next step** that downloads and install those dependencies. And here's where we **save a lot of time**. ✨ ...and avoid boredom waiting. 😪😆

Downloading and installing the package dependencies **could take minutes**, but using the **cache** would **take seconds** at most.

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FastAPI 是一個現代、快速（高效能）的 web 框架，用於 Python 並採用標準 Python 型別提示。

主要特點包含：

- **快速**： 非常高的效能，可與 **NodeJS** 和 **Go** 效能相當 (歸功於 Starlette and Pydantic)。 [FastAPI 是最快的 Python web 框架之一](#performance)。
- **極速開發**： 提高開發功能的速度約 200% 至 300%。 \*
- **更少的 Bug**： 減少約 40% 的人為（開發者）導致的錯誤。 \*
- **直覺**： 具有出色的編輯器支援，處處都有<abbr title="也被稱為自動完成、IntelliSense">自動補全</abbr>以減少偵錯時間。