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Jupyter notebook setup in VS Code was working fine; now get "Running cells with 'Python 3.9.12 64-bit' requires ipykernel package."

I have a python project (folder) that I'm working on in VS Code (in Windows) and it uses Jupyter notebook. The project uses a virtual env. It was working fine a few days ago. Today when I open up one of the .ipynb files in the project, I see:
Running cells with 'Python 3.9.12 64-bit' requires ipykernel package.
Run the following command to install 'ipykernel' into the Python
environment. Command:
'c:/Users/myName/AppData/Local/Programs/Python/Python39/python.exe -m
pip install ipykernel -U --user --force-reinstall'
I don't understand why VS Code is looking at the system installation of python. I have the following in settings.json in the .vscode subfolder of this project:
{
"python.pythonPath": "proj_env\\Scripts\\python.exe",
"python.terminal.activateEnvironment": true
}
And in the virtual environment for this project, I have confirmed I have ipykernel installed. It was working fine a few days ago. I see that ipykernel was updated 10/31/2022, so just to try it, I updated the ipykernel package in the virtual env from 6.15.2 to 6.17.0.
But clearly for some reason VS Code is looking to the system installation of python instead of the virtual env.
Pulling my hair out because I changed nothing in the past few days. In fact I just opened the project today for the first time since a few days ago when it was working fine.
When I press CTRL+SHIFT+P to select python interpreter, the virtual env python interpreter is already selected. But I still see the warning posted above re: ipykernel package needing to be installed.
Where am I going wrong?

Here's my attempt at an explanation of the solution. I'm sure someone understands this better and can explain it better (please do and I will pick your answer as the solution!):
VS Code uses one python interpreter for .py files and terminal and a different python interpreter for Jupyter notebook (.ipynb) files. The kernel I wanted wasn't there, and it was using the system installation of python, which is why I was getting this message (ipykernel not installed to system environment, and I don't want it there), while the virtual env python (which has ipykernel) was being used for .py and terminal in the same project, hence the confusion.
To 'install' the kernel for Jupyter, I activated the virtual env in VS Code powershell terminal. Then ran:
python -m ipykernel install --user --name=project_name
Then exit VS Code, restart, open project folder and in upper right corner of Jupyter notebook, use the kernel picker to select the kernel. The kernel I just created wasn't there, so I used CTRL+SHIFT+P in VS Code, then type Jupyter: Filter Kernels, and there I could see the kernel I created, and it was checked, then went back to kernel picker and was able to select the correct kernel.
So now the .ipynb code has access to all the packages installed in this virtual environment.
One annoyance is VS Code doesn't 'remember' that this is the kernel I want for this project, so I have to select the kernel each time I open this project. I'm sure there's a solution for this, but I'll have to look for that later.

pip3 install of Jupyter and Notebook problem when running

I have tried all of the things here on stack and on other sites with no joy...
I'd appreciate any suggestions please.
I have installed Jupyter and Notebook using pip3 - please note that I have updated pip3 before doing so.
However when trying to check the version of both jupyter --version and notebook --version my terminal is returning no command found. I have also tried to run jupyter, notebook and jupyter notebook and I am still getting the same message.
I have spent nearly two days now trying to sort this out... I'm on the verge of giving up.
I have a feeling it has something to do with my PATH variable maybe not pointing to where the jupyter executable is stored but I don't know how to find out where notebook and jupyter are stored on my system.
many thanks in advance
Bobby

You should be able to run jupyter with python -m even if the PATH variable is not set up correctly.
python -m jupyter notebook
you can check the PATH variables on Windows if you search in with the windows search function for env and then click on Edit the system environment variables > Environment Variables....
The path variable is a list of paths that the terminal checks for commands.
I didn`t work on Mac for a long time, so not sure how similar linux and mac command line still are, but on debian you control your path variable like this.
View paths:
echo $PATH
/usr/local/bin:/usr/bin:/bin
Add a path:
export PATH=$PATH:/mynewpath
For constant export add to ~/.bashrc
To view the path of the pip package, you can use
pip3 show jupyter
When jupyter-notebook works and jupyter notebook does not. It looks to me like a symlink thing. Or a Mac-specific problem.

So to summarise this is what I have found on this issue (in my experience):
to run the jupyter app you can use the jupyter-notebook command and this works, but why? This is because, the jupyter-notebook is stored in usr/local/bin which is normally always stored in the PATH variable.
I then discovered that the jupyter notebook or jupyter --version command will now work if I did the following:
open my ./bash_profile file
add the following to the bottom of the file: export PATH=$PATH:/Users/your-home-directory/Library/Python/3.7/bin
this should add the location of where jupyter is located to your path variable.
Alternatively, as suggested by #HackLab we can also do the following:
python3 -m jupyter notebook
Hopefully, this will give anyone else having the same issues I had an easier time resolving this issue.

I've found a solution from the documentation over at Jupyter https://jupyter-notebook.readthedocs.io/en/stable/troubleshooting.html but I am still curious.
It states that to run the application to use the command jupyter-notebook and hey-presto! It does seem to work now. But, why is this when nearly everywhere else I have read that to run the app we just type the command jupyter notebook.
Also, if I do need to check the version of any of the Jupyter files how do I go about this now, if jupyter --version and notebook --version still don't work.
Also, how do I go about finding these files in my file system if I have no idea where they are located? And how do I go about adding these to my path so that I can, for example, check the version of these programs?
Will pip3 automatically update this software as and when needed?
Thanks again in advance

have you tried locate Jupiter? It may tell you where jupyter is on your system.
Also, why not try installing jupyter via anaconda to avoid the hassle?

I definitely would recommend going through anaconda which makes everything a lot easier.
The following is the link with step by step instructions: https://jupyter.readthedocs.io/en/latest/install.html

"r.start is not a function" Fermipy Conda Error

I've been using the Fermipy conda environment on Python 2.7.14 64-bit on macOS Catalina 10.15.5 and overnight received the error "r.start is not a function" when trying to connect to the Jyputer server through Vscode (if I try on Jupyter Notebook/Lab the server instantly dies). I had a bunch of clutter on my system so I ended up formatting it and reinstalling all the dependencies needed (such as Conda through Homebrew, Fermitools through Conda and Fermipy through the install script on their site), but still get the same error, although I was previously running python scripts just fine. It gives me no other error or output, if it did I would attach it here. This is the error I get.
Edit: I get the same error using any version of Python 2.7.XX and not for python 3.7.XX.

As answered here, https://github.com/microsoft/vscode-python/issues/12355#issuecomment-652515770
VSCode changed how it launches jupyter kernels, and the new method is incompatible with python 2.7.
Add this line to your VSCode settings.json file and restart.
"python.experiments.optOutFrom": ["LocalZMQKernel - experiment"]

I got the same message. (r.start is not a function.) I had an old uninstalled version of anaconda on the computer which had left behind a folder containing its python version. Jupyter was supposed to be running from new venv after setting both python and jupyter path in vscode. I fully deleted remaining files from old anaconda install - message went away and notebook ran fine. Maybe try getting rid of all conda stuff and pip install jupyter and anything else you need.

Pycharm jupyter notebook wsl: Jupyter package is not installed

I would like to use Jupyter notebook inside Pycharm. The project interpreter is a python2.7 from a virtual environment inside WSL (ubuntu 18.04).
The Jupiter package is correctly installed inside the virtual environment (I can run it by jupyter notebook).
My problem is that when I want to use Jupyter notebook inside Pycharm, I get the following error: Run Error Jupyter package is not installed (see picture).
Any idea what's going on here?

I had this problem in Python 3. Below are the steps I took to resolve the issue; I believe they should resolve the issue for you too:
I had Jupyter Lab installed. Pycharm only works with Jupyter Notebook. Long story short, if you have Jupyter Lab installed you need to uninstall all your packages using:
$ pip freeze | xargs pip uninstall -y
Restart your computer
Follow Jupyter Notebook installation instructions
Make sure WSL is set up through pycharm instructions: wsl pycharm instructions
In Pycharm, open an .ipynb file. Click the dropdown that says "Managed Jupyter server" It's right above the text editor. Select "configure Jupyter server". Check configured server.
In your wsl terminal, type jupyter notebook. Copy and paste the text that looks like: http://localhost:8888/?token=874asdf687asd6fasd8f74ds6f4s9d8f7sddf into the cofigured server box in Pycharm.
That's it. You should be able to run the jupyter cells in pycharm now.

I have Pycharm 2020.3 For me the issue was I was using a virtual environment with "inherit global site packages." I had Jupyter installed in global site packages but NOT the virtual environment.
Once I installed Jupyter within the virtual environment Jupyter notebook worked. Not sure why inheriting Jupyter from global packages wasn't working for me.

The above solution using a designated url with token seems to work with older versions of PyCharm. A simpler solution is to upgrade to the latest PyCharm. I no longer had an issue with the auto server using PyCharm 2019.3.2 (Mac)

I had this problem with Datalore plugin enabled on 2020.2 linux, running on bare metal but displaying to a remote X server (probably doesn't matter). My solution was to disable the Datalore plugin (it's enabled for professional pycharm by default).
This way I was still able to use the "managed" auto-start version with better integration / debugging vs the "configured" option (or at least with less hassle).
Note since it's been a year, my problem is probably different than OP.

This happened for me, when the interpreter was a remote one. I fixed this by changing the interpreter to one from a local env.
This can be done by selecting the Configure Jupyter Server.

I also meet this problem,and i solved it
i create the new project with the global sit-packages like below
then i meet the problem
i create the new project with no global sit-packages and install jupyter notebook in the virtualenv
then the problem is gone

Unable to use Python2 in Jupyter Notebook: Python in worker has different version 2.7 than that in driver 3.4

My knowledge with Jupyter and python is limited. You can sense it after reading this question. I have two set of servers: one set of servers running the spark-standalone cluster and one server running the Jupyter notebook.
I have installed Jupyter in my server twice with commands:
pip2 install jupyter
pip3 install jupyter
After installing I set the following environments:
export PYSPARK_DRIVER_PYTHON=jupyter
export PYSPARK_DRIVER_PYTHON_OPTS="notebook --notebook-dir=./ --ip=* --no-browser"
Then I used Jupyter to connect to the spark-standalone cluster with the following command:
./bin/pyspark --master spark://192.XXX.XXX.XXX:7077
I can login in the Jupyter homepage in my laptop and in the right corner the message indicates that I am using Python2. However, I cannot execute Python2 codes while Python3 codes work.
I tried the following command
export PYSPARK_PYTHON=python2
and
import os
os.environ["PYSPARK_PYTHON"]="/usr/local/bin/python2"
but with no luck.
Is this because I am using a Jupyter notebook created by pip3? If it is, how can I switch to the Jupyter notebook created by pip2?
Thanks in advance if you have any suggestions. If you need more information to locate the cause, please feel free to let me know.

I put this problem aside these days and picked it again today. To determine whether spark or jupyter was responsible for this problem, I launched the Jupyter Notebook without spark: jupyter notebook. The same problem arose again so I knew there was something wrong with my Jupyter Notebook.
I referred to this document: Installing the IPython kernel. After executing the following commands I could run Python2 codes.
python2 -m pip install ipykernel
python2 -m ipykernel install --user
I have tried these two commands before posting the questions but with no luck. I guess maybe I made some mistakes when coping/pasting? Anyway, the problem is now solved.