Two ways

one:

You can go into the command Juptyer: Filter Kernels

use command to filter out kernals, all kernals follow alphanumeric order. So, u can tick a few https://github.com/microsoft/vscode-jupyter/discussions/10130

two:

ps. Can try, but might not work after a while? idk why, but it works once.

Enforce choices to only 1, then reload vscode windows

"jupyter.kernels.filter": [
      {
        "path": "/bin/python3"
      }
    ]

Meanwhile you can visually browser all the paths on ur local Click the text button at the top right corner. <Python 3.x****>

It pops up like below

I had a lot of problems myself in getting the updated list of jupyter kernel servers in old versions of Visual Studio code.

However, in the newer version of Visual Studio code (I am using version 1.76.2 on my ubuntu 18.04 machine; I hope this works also on Mac OS), you don't need to specify the jupyter kernel anymore: it is now enough to specify the python environment. This new feature and its use are described in this howto from visualstudio.

In short, once I installed the correct version of Visual Studio code, I performed the following steps:

• I first make a virtual environment and install ipykernel in it:

virtualenv --python=python3 venv
. venv/bin.activate
pip3 install ipykernel

• In Visual Studio code, while having opened a python file, I select using ctrl+shift+P (Shift+Command+P in Mac OS) the python interpreter (Python:Select Interpreter) and choose the one of the virtual environment that I have just created: /path/to/venv/bin/python. In my case, this step was necessary: indeed, I first had to choose the desired python interpreter on any python file before proceeding to the following step
• In Visual Studio code still, while having opened a notebook file (.pynb file), I click on select kernel on the top right of the IDE, then click on "Python Environments": the environment I selected before for the python file (/path/to/venv/bin) will appear here, without having to add environments to the kernel lists. Once this environment is selected, the notebook should work as expected,

I hope it helps.

Pip installing jupyter and creating an ipykernel for your virtual environment should allow the Jupyter VSCode extension to see that environment in the "Notebook: Select Notebook Kernel" dropdown. You may need to restart VSCode (or just the extension?)

According to the Jupyter VSCode extension docs

A Visual Studio Code extension that... allows any Python environment to be used as a Jupyter kernel. This is NOT a Jupyter kernel--you must have Python environment in which you've installed the Jupyter package.

I also tried just creating the kernel on the SSH server, but the Jupter extension still didn't pick it up as an option for "Notebook: Select Notebook Kernel" until I pip installed jupyter and restarted VSCode.

System info: VSCode 1.79.2 for Linux x64, into an ubuntu SSH server. Jupyter VSCode extension v2023.5.1101742258

As bizarre as it seems, I also noticed this the other day and the only thing that works so far for me is to open VS Code by launching it from the Anaconda Navigator:

Then I get, as expected:

I have several versions of Python installed. It happened the same thing to me and I have fixed it this way.

Ctrl + Shift + P and select Python: Select Interpreter to start Jupyter server

Then, select the version under the Visual Studio Code

Nothing will happen and then press again Ctrl + Shift + P and select Python: Create new blank Jupyter Notebook. And it works.

I have even set the Python version to 3.8 at the bottom, and it worked too with the new features print(a:=4), despite the fact that the version I have chosen was 3.7.5. Nevertheless, I have to launch Visual Studio Code from Anaconda Navigator.

maybe this helps, but maybe not. I ran into this issue during a ssh session on a remote machine. I had to use the VS code command > Python: Select Interpreter

form here I needed to add the location to the environment I wished to work form.

so long as jupyter is installed in the path there should be no issues (: