jupyter server : not started, no kernel in vs code

Question

i am trying to use jupyter notebooks from vs code and installed jupyter notebook extension and i am using (base)conda environment for execution. while this happened

Error: Jupyter cannot be started. Error attempting to locate jupyter:
at A.startServer (c:\Users\DELL\.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:1:784356)
at async A.ensureServerAndNotebookImpl (c:\Users\DELL\.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:1:783811)
at async A.ensureServerAndNotebook (c:\Users\DELL\.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:1:783612)
at async A.submitCode (c:\Users\DELL\.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:1:780564)
at async A.reexecuteCell (c:\Users\DELL\.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:75:879318)

how to resolve this issue ?

Answer 1

I had exactly the same problem when I installed Visual Studio Code and tried to run some Python code from a jupyter notebook on my fresh Ubuntu 18.04.

How I solved it:

1) Press Command+Shift+P to open a new command pallete

2) Type >Python: Select Intepreter to start jupyter notebook server

3) Open the notebook again

And it worked fine. Hope it works for you.

Answer 2

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 lunch VS Code from Anaconda Navigator.

Answer 3

1. Press Command+Shift+P on mac, Ctrl+Shift+p on windows

2. Type Jupyter: Select Interpreter to start Jupyterserver

3. It would show you a dropdown of python versions installed.

4. I chose python 3.7.5 and it worked for me you can choose the python version installed on your machine.