I have been accessing a remote Jupyter server through my browser but for better debugging, I am now switching to accessing my server over SSH in Visual Studio Code. I installed the Jupyer extension and can run my notebooks fine. But in the browser interface, there is a "Running" tab (as shown in the image) that lists all the notebooks I am running and I can shut them down from there easily. How to do the same in VS Code? I just need to view this list. A terminal command, or anything that can tell me which notebooks are running will be very helpful.
It seems to be an visual studio issue: https://stackoverflow.com/a/71257239/5141404
I work in an alternative way, all files in the open editors is running jupyter notebook.
Related
I want to embed a bokeh server inside Jupyter Notebook. This has been done in this example file.
But I usually run Jupyter Notebook on Visual Studio Code rather than directly on a web browser. This causes the problem - the bokeh plot doesn't show up in Visual Studio Code as it does in a web browser.
Can anyone help?
I've forked VSCode on Github to try to add a tiny little feature I think would be useful, which adds a new CLI flag to code, to be used inside the VSCode terminal (like code - for stdin). I added the code, wrote tests, and now I want to try out the feature.
I'm developing inside the built-in devcontainer, so I just launched an instance of VSCode from within VSCode, connected to the devcontainer via VNC and tried to use my flag inside the VSCode-OSS terminal. However, I get an error saying "Command is only available in WSL or inside a Visual Studio Code terminal"
According to server.cli.ts, this means that the env variables VSCODE_IPC_HOOK_CLI and VSCODE_CLIENT_COMMAND aren't set, but I don't know who should be setting them, or if I need to launch VSCode in a different way for debugging.
Has anyone using the VSCode DevContainer to write additional CLI flags and knows how to debug them?
I have multiple people working on the same AWS EMR cluster to run some Spark jobs. This is being done through Jupyter Notebooks which are created/modified using the Jupyter extension installed on a SSH Target through vscode. The modules are installed on the base conda environment that is included with the /emr/notebook-env/. Some people can see the correct kernel that is associated with the base conda environment in their vscode window when working on notebooks. However, some don't see this kernel as an option. How do I make sure that everyone's vscode lists the appropriate kernel when they are creating new notebooks or modifying existing notebooks?
Another potential reason this could happen is that the Jupyter exentsion of VSCode is not installed.
To add the Jupyter extension for VSCode, search for it by clicking extensions icon in lefthand toolbar, then searching for Jupyter and installing.
The user having the issue had to update their vscode and that fixed the issue
I am using Visual Studio Code, Jupyter and Anaconda 3.8.5. I have a notebook, in that notebook I cannot select the kernel I want. The kernel is visible, I can click on it, a pop-up below appears stating kernel is switching, but it is not selected.
What I have tried:
Check ipykernel is installed.
Reinstalled Jupyter in that environment.
Tried restarting Visual Studio Code.
Restarted machine.
Tried to see if I could set the kernel using a Visual Studio Code workspace setting (nope).
Ideas appreciated.
Whenever I open VS Code & go to Extensions, it always shows Jupyter as Installing, Why is it so?