背景
搜了许多，都是较为陈旧的，目前 docker 的 mac 桌面版支持很快速的设置，不用找任何帮助
前提
假设你是想使用 docker 镜像，来避免 python 环境的复杂，节约时间的，来吧
因为我最近开始研究 ai，所以技术背景是 ai
docker pull ufoym/deepo:all-py36-jupyter-cpu
4 个多 G
申请 pycharm 专业版
0.0.0.0 account.jetbrains.com，添加到 hosts
pycharm，嗯，Activate code
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设置专业版
只有专业版有 docker 的 remote 调试，ce 版本没有
只需要进入 project 进行设置，如下图
可以采用另外一种方法：社区版在本地做实验，和学习，足够了
docker 镜像采用有 jupyterbook 的 images，全搞定
docker pull ufoym/deepo:all-py36-jupyter-cpu
或者
折扣申请
https://www.jetbrains.com/pyc…
也可以采用的最简便的：jupyter book
进入 pycharm，引用 numpy，如图，remote 包 ok 啦
jupyter notebook（使用 docker）
ZBMAC-C02N753CG:test jiaohuifeng$ ./jupyter.sh
[I 08:26:23.100 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
[W 08:26:23.537 NotebookApp] All authentication is disabled. Anyone who can connect to this server will be able to run code.
[I 08:26:23.552 NotebookApp] Serving notebooks from local directory: /root
[I 08:26:23.552 NotebookApp] 0 active kernels
[I 08:26:23.552 NotebookApp] The Jupyter Notebook is running at:
[I 08:26:23.553 NotebookApp] http://0.0.0.0:8888/
[I 08:26:23.553 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
jupyter.sh
docker run -it -v /Users/jiaohuifeng/test:/sdata -p 8888:8888 –ipc=host ufoym/deepo:all-py36-jupyter-cpu jupyter notebook –no-browser –ip=0.0.0.0 –allow-root –NotebookApp.token= –notebook-dir=’/root’