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Why has Jupyter notebook kernel stopped working after RStudio package installation

To date I have been using Jupyter Notebook to run R and sometimes Python code. I have also been using RStudio at times. Recently, while using RStudio, I was prompted to install some package (cannot exactly remember). At any rate, I installed this package. Dont know if only coincidence, but trying to run R in the notebook resulted in kernel not connecting. I found the same issue with Python, the Python kernel is also not connecting anymore.
Executing the below, I get;
(base) C:\WINDOWS\system32>jupyter kernelspec list
Available kernels:
ir C:\Users\Admin\AppData\Roaming\jupyter\kernels\ir
python3 C:\Users\Admin\anaconda3\share\jupyter\kernels\python3
How do I get Jupyter Notebook's kernels to work again.
Executing IRkernel::installspec() in R via Anaconda CMD prompt have resolved the issue. Note for others with this issue, you may be prompted to run install.packages(“rlang”) before.

Kernel of Jupyter notebook in VScode cannot work

The kernel failed to start as 'filefind' could not be imported from 'd:\anaconda\lib\site-packages\traitlets\utils_init_.py'.
View Jupyter log for further details.

Is sandbox necessary for vscode to run jupyter notebooks?

I am fairly new to vscode. On my Mac, I am able to get the jupyter notebook running and working as expected within vscode, but on my linux machine (CentOs 7), it fails with the error:
Error loading webview: Error: Could not register service workers: InvalidStateError:
Failed to register a ServiceWorker: The document is in an invalid state.
There are several posts stating that a simple restart or killall code will fix this problem, but that hasn't worked for me. I believe there are some potential differences here.
I don't have sudo permissions for installing vscode. I have the tarball extracted and run it via /path/to/code --no-sandbox.
Given this constraint, does that mean anything that needs webview, like opening an image in vscode or jupyter notebook, requires sandbox and therefore, I will not be able use any of those features?

'Kernel died with exit code 1' Error with Jupyter Notebook in VS Code

I am trying to run a Jupyter notebook in VS Code but I keep getting this error code:
I have Python 3.8.8 which was installed using Anaconda. The project folder has a virtual environment created using venv. I tried the solutions given here but none worked.

Troubleshooting: Kernel always dies using IJulia in IPython notebook

I recently began using julia, and I would like to use in with IPython Notebook/Jupyter.
So, I installed julia using MacPorts, i.e. sudo port install julia. Following the installation instructions here: https://github.com/JuliaLang/IJulia.jl
After the prompt, I used "Pkg.add("IJulia") to install IJulia.
However, I cannot use Julia with IPython notebook. After opening the notebook with
ipython notebook --profile=julia
the kernel for the julia notebook dies instantly and cannot be restarted.
The error on the Terminal shows:
[I 19:03:19.410 NotebookApp] KernelRestarter: restarting kernel (1/5)
WARNING:root:kernel dc00ae3a-8fa6-4d01-a802-f7845a16a9ba restarted
ERROR: SHA256 not defined
in include at /opt/local/lib/julia/sys.dylib
in process_options at /opt/local/lib/julia/sys.dylib
in _start at /opt/local/lib/julia/sys.dylib
while loading /Users/NAME/.julia/v0.3/IJulia/src/kernel.jl, in expression starting on line 6
I suspect I have installed IJulia incorrectly? How can I solve this?
(The version of julia is julia version 0.3.11. The version of python is Python 2.7.10. The version of ipython is 4.0.0.)
The current stable version of Julia is v0.4.0.
You should download it directly from the Julia homepage (.dmg):
http://julialang.org/downloads/
Having done that, run it and do Pkg.add("IJulia") again.
Then from within Julia do
using IJulia
notebook()
Note that the Jupyter Notebook (the new name for what used to be the IPython Notebook) is run as
jupyter notebook
The --profile julia is no longer necessary and should be removed.
Furthermore, this (jupyter notebook) will only work if you had a previous installation of Jupyter, which seems to be the case. In this case, I suggest you upgrade it with conda, if you installed Anaconda, or with pip.)