## 设计

然后，我又花了一些时间从用户角度（使用 FastAPI 的开发者）设计了开发者 **API**。

同时，我还在最流行的 Python 代码编辑器中测试了很多思路，包括 PyCharm、VS Code、基于 Jedi 的编辑器。

根据最新 <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python 开发者调研报告</a>显示，这几种编辑器覆盖了约 80% 的用户。

也就是说，**FastAPI** 针对差不多 80% 的 Python 开发者使用的编辑器进行了测试，而且其它大多数编辑器的工作方式也与之类似，因此，**FastAPI** 的优势几乎能在所有编辑器上体现。

 * Maven Plugin Tool for Annotations</a>.
 *
 * @see <a href="https://maven.apache.org/guides/plugin/guide-java-plugin-development.html" target="_blank">Guide to Developing Java Plugins</a>
 * @see <a href="https://maven.apache.org/guides/mini/guide-configuring-plugins.html" target="_blank">Guide to Configuring Plug-ins</a>

        "three_months_experts": three_months_experts,
        "six_months_experts": six_months_experts,
        "one_year_experts": one_year_experts,
    }

    # For local development
    # people_path = Path("../docs/en/data/people.yml")
    people_path = Path("./docs/en/data/people.yml")

    updated = update_content(content_path=people_path, new_content=people)

    if not updated:

  <name>Apache Maven</name>
  <description>Maven is a project development management and
    comprehension tool. Based on the concept of a project object model:
    builds, dependency management, documentation creation, site
    publication, and distribution publication are all controlled from
    the declarative file. Maven can be extended by plugins to utilise a
    number of other development tools for reporting or the build
    process.
  </description>

Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## Run Standalone MinIO on Docker

*Note*: Standalone MinIO is intended for early development and evaluation. For production clusters, deploy a [Distributed](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-as-a-container.html) MinIO deployment.

 * during handshake, and then take the agreed masterSecret from private fields of the session.
 *
 * Copy WireSharkKeyLoggerListener to your test code to use in development.
 *
 * This logs TLSv1.2 on a JVM (OpenJDK 11+) without any additional code.  For TLSv1.3
 * an existing external tool is required.
 *

Containers also have their own **isolated** running processes (commonly just one process), file system, and network, simplifying deployment, security, development, etc.

## What is a Container Image { #what-is-a-container-image }

A **container** is run from a **container image**.

    "path": "platforms/native/platform-native",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "plugin-development",
    "path": "platforms/extensibility/plugin-development",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": true
  },
  {
    "name": "plugin-use",
    "path": "platforms/extensibility/plugin-use",

And it will work and will be useful **during development**.

But if your connection to the server is lost, the **running process** will probably die.

    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
    longer supported for development). Use TF SIG Build Dockerfiles in
    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`