clarkzjw/picolab
clarkzjw
PicoLab used for CSC361
下载次数: 0状态：社区镜像维护者：clarkzjw仓库类型：镜像最近更新：3 年前
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如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具，协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题，请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可：
请先完整阅读并严格遵守以下文档中的全部规则与要求：
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前，不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式，不推荐豆包 AI；Cursor 等编辑器可在对话 @ 该链接，或加入 User Rules。 若 AI 无法访问外链，可 打开说明文档 复制全文粘贴。文档会随站点更新，复制内容可能过期，建议定期检查。
Usage
Pull Docker image
sudo docker pull clarkzjw/picolab:latest
The output should look like
latest: Pulling from clarkzjw/picolab 6e3729cf69e0: Already exists 7a63f926c364: Already exists ... cd6fa21fb84c: Pull complete ad836c24fc91: Pull complete Digest: sha256:86577e58727fef4fb0b06456e94dc4a654e1377bc13b93168e1b37649a708e9e Status: Downloaded newer image for clarkzjw/picolab:latest docker.io/clarkzjw/picolab:latest
Run a picolab container using this image
sudo docker run -d -p <local-port>:8888 --hostname piconet --privileged --cap-add NET_ADMIN -v jovyan_home:/home/jovyan --name piconet clarkzjw/picolab:latest
Remember to add --privileged --cap-add NET_ADMIN to the parameter list. If you are using GUI tools like Docker Desktop to create containers, pay attention to add these options.
-v jovyan_home:/home/jovyan is the option to create a data volume to store custom files created when using JupyterLab. Data volumes can be attached to other containers while preserving existing files.
Update <local-port> with the actual port you want to use to access picolab. For example, in the following example, port 8088 is used.
sudo docker run -d -p 8088:8888 --hostname piconet --privileged --cap-add NET_ADMIN -v jovyan_home:/home/jovyan --name piconet clarkzjw/picolab:latest 665e329448d13b9c07446d4741ba589487d0922b58c3337bae3904ccd3b50725
The output 665e329448d13b9c07446d4741ba589487d0922b58c3337bae3904ccd3b50725 is the container ID, which can also be retrieved using commands like sudo docker ps -a.
Open browser at http://<local-ip>:<local-port> and input the access token for JupyterLab. If you are running this command on your local laptop, 127.0.0.1 or localhost. If you are running on a remote server or inside a virtual machine, replace
Get the access token for JupyterLab
sudo docker exec piconet jupyter server list
The output should look like
[JupyterServerListApp] Currently running servers: [JupyterServerListApp] http://piconet:8888/?token=9b11b94de6d007a15be4ee59b876b16216d8d6752c4bec71 :: /home/jovyan
In this case, the token is 9b11b94de6d007a15be4ee59b876b16216d8d6752c4bec71.
Delete and cleanup
Get container ID
sudo docker ps -f name=piconet -q
or manually by
sudo docker ps -a
Stop the container
sudo docker stop <container_id>
Delete the container
sudo docker rm <container_id>
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
DockerHub 原生拉取命令
docker pull clarkzjw/picolab:<标签>
镜像拉取常见问题
功能
错误码
用户好评
来自真实用户的反馈，见证轩辕镜像的优质服务
oldzhang
运维工程师
Linux服务器
5
"Docker访问体验非常流畅，大镜像也能快速完成下载。"