[英]how to keep jupyter kernel alive inside vscode remote container?
How can I disconnect, then reconnect to a vscode dev container without killing the ipynb kernel within my workspace?如何断开连接,然后重新连接到 vscode 开发容器,而不杀死工作区中的 ipynb kernel?
I access my jupyter notebook inside a vscode dev container in order to have reproducibility of my project-specific environment.我在vscode 开发容器中访问我的 jupyter 笔记本,以便重现我的项目特定环境。 I connect to the container host machine on my laptop.
我连接到笔记本电脑上的容器主机。 Upon re-opening my vscode workspace after reconnecting to the container, my ipynb kernel is dead and all notebook computation must be repeated.
在重新连接到容器后重新打开我的 vscode 工作区后,我的 ipynb kernel 已死,必须重复所有笔记本计算。
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