jupyter_nbextensions_configurator | A jupyter notebook serverextension | Code Editor library

I want to install nbextensions for my juypter notebooks. Having followed the instructions from here, I can see the nbextensions dashboard.

However when I go to enable this I get the following error:
"This nbextension's require url (splitcell/splitcell) is referenced by two different yaml files on the server. This probably means that there are two installations of the same nbextension in different directories on the server. If they are different, only one will be loaded by the notebook, and this may prevent configuration from working correctly. Check the jupyter notebook server log for the paths of the relevant yaml files."

I find that I indeed have multiple entries....

This link suggests to delete one (though there are actually 3)... what I don't know is which... I don't want to delete something that then breaks my jupyter instances completely.

I have the feeling that I am not using the instance under anaconda. What do I damage if I delete this?

Appreciate any insights, and let me know if you need more information,
J

I installed jupyter notebook with pip using python -m pip install jupyter and nbextensions using pip install jupyter_contrib_nbextensions && jupyter contrib nbextension install

My current jupyter-notebook version is 6.1.6 which makes nbextensions to show blank tab as per this thread . However the solution is to downgrade the notebook to 6.1.5 version.

How do I do that using pip?

I installed conda install -c conda-forge jupyter_nbextensions_configurator and ran jupyter nbextensions_configurator enable --user in my venv, but the nbextensions menu is empty. I've restarted notebook a few times, no luck. How can I get the menu to show up so that I can click and select TOC, etc.?

System details:

Windows 10, Firefox
conda 4.8.2
Python 3.8.3
jupyter 1.0.0 pypi_0 pypi
jupyter_client 6.1.3 py_0 conda-forge
jupyter_console 6.1.0 py_1 conda-forge
jupyter_contrib_core 0.3.3 py_2 conda-forge
jupyter_core 4.6.3 py38h32f6830_1 conda-forge
jupyter_nbextensions_configurator 0.4.1 py38_0 conda-forge

Note: yes, there are many, many posts regarding the issues of installing mysql for python, specifically for python3 (e.g. Troubles installing mysqlclient with pip3). Most solutions are done in a non-dockerized manner. I have also read the mysqlclient install guide. I am still struggling to get it to work

A repo to clone and test for convenience.

Here I am trying to install it to my docker image.

I'm really enjoying the Unofficial Jupyter Notebook extensions found here. There's the Jupyter nbextensions configurator capability that allows one to interactive enable/disable extensions as well.

However, what do I do if I want to migrate to a new virtual environment? Is there a more seamless way of getting to my original configuration, other than manually executing jupyter nbextension enable [extension] for each one? Is there a way to export and import the extensions and settings?

In my current conda environment I want to start using jupyter. I have done this successfully in other projects. This time I'm unable to access the kernel from jupyter.

The environment is activated using conda activate myenv.

The I run, (myenv) jupyter lab, which opens jupyter, but my kernel is not on the list.

I went back to an old environment: (myenv) conda deactivate then conda activate oldenv. There I installed the ipykernel using (oldenv) conda install ipykernel.

This kernel is now on the dropdown list of kernels when starting jupyter regardles of which jupyter i start. This means I can find it using both (myenv) jupyter lab and (oldenv) jupyter lab.

I have tried to reinstall nb_conda and ipykernel in myenv. Now I'm out of ideas. Some outputs from myenv is listed below. I'm at such a loss I don't even know what the relevant output is.

Is it possible to use jupyter_contrib_nbextensions extension like "Collapsible Headings" in nbviewer?

I've managed to use it locally by doing the following steps:

After I tried to add and remove an extension in Jupyter Notebook, I can't open or create a new python document anymore.

the browser shows: "500 : Internal Server Error"

terminal shows (quite long, I only copied part of it which indicates an error):

...

I updated my Jupyter Notebook and it does not create a new notebook under the current directory as it used to. Instead, it always creates a new notebook under the start-up directory.This happens on my Mac and Windows computers. How can I fix this?

1) Creating a new notebook under project1

2) A new notebook was successfully created

3) However, this notebook was created under the jupyter start-up directory rather than project1

Jupyter did not behave like this before. Is this a bug or intended behavior?

Here are my Jupyter related package versions.