jupyterlab | Quilt Data plugin for JupyterLab | Code Editor library

I have downloaded JupyterLab Neon Theme, and I can run it without a problem, but I want to change some things on the custom.css file.

However, when I change that file, I need to do something called development installation. However, I have no idea how to do it properly. I mean, what steps should I follow to do that. First, I need to clone a repo, but I don't even know how to do that. And then it says type this

I'm developing a small application using JupyterLab that I will distribute around the world. I would like to configure JupyterLab so that when my users download my code, move into the directory, and execute jupyter-lab, they will always start with the same view.

For example, I want JupyterLab to open up with the README.md file shown rendered as markdown. I don't want Python or Jupyter Notebook files opened (initially).

Is there a way to configure JupyterLab in this way?*

I want to change the color of selected/highlighted text by mouse in input cells in Jupyterlab 3. I am using the light theme, however the highlighted text appears difficult to read in input cells. If I hightlight text with my mouse in the output cells, it is absolutely fine. Please see the attached image. Ideally I want both of my highlights have the same light blue color.

The extensions I am running are below. I have only 3 different themes - light, dark, and darcula. Jupyter lab is version v3.0.16. The complete stack is Jupyterhub with dockerspawner on Ubuntu 20.04.2. I am using Google Chrome browser on Win 10, the same problem happens in Edge.

I have a dash.datatable like below a but the column width is too long for my values, the column width should be limited to the maximum length word of the respective column.

my code:

Environment.
jupyterlab, python 3.8.
ubuntu 20.04LTS.
(Client : macos bigsur / google chrome).
using boto3.

Situation.
I builded docker image and pushed it to ECR successfully.
That image has awslambdaric and contains aws-lambda-rie.
I can deploy that image with AWS Lambda console.

I want.
Deploy it to lambda using boto3(=python code).

problem.
Following boto3 manual, deploying lambda is like next:

I use python3.6, and try to use lambda function which I load from .yml file. I have the lambda in a str format, so I use the exec('l = lambda x: print(x)') function to turn it into a valid lambda and to assign it to a variable, but it throws the NameError: name 'l' is not defined exception when I try to use the lambda

The following toy example demonstrates my issue:

Here is my setup. I am expecting to only see the word "test" when I run the notebook, without the code cell. Am I understanding this functionality correctly?

The documentation indicates that there is a CodeMirror instance in the CodeEditorWrapper instance: https://jupyterlab.readthedocs.io/en/stable/extension/notebook.html?highlight=codemirror#widget-hierarchy

I found an editor property on the CodeEditorWrapper instance. I thought it might be a CodeMirror instance like the one described here: https://codemirror.net/doc/manual.html, but it appears that it’s not.

How can I get a reference to a CodeMirror instance in JupyterLab?

I am trying to do what is described here: https://discuss.codemirror.net/t/get-visible-lines-with-respect-to-current-scroll/1429

Edit:

Once you have a reference to a cell, it can be obtained like this:

I am running docker build task in Azure pipelines on a pipeline agent that runs on an on-prem host. I am trying to "RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager".

In the base image: node=14.14.0 jupyter=1.0.0 jupyter-packaging = 0.7.12 jupyter-resource-usage= 0.5.1 jupyter_client = 6.1.7 jupyter_console = 6.2.0 jupyter_core = 4.7.0 jupyter_server = 1.6.1 jupyter_telemetry = 0.1.0 jupyterhub = 1.3.0 jupyterhub-base = 1.3.0 jupyterlab = 3.0.12 jupyterlab-git = 0.30.0b2 jupyterlab-templates = 0.2.5 jupyterlab_code_formatter=1.4.5 jupyterlab_pygments = 0.1.2 jupyterlab_server = 2.3.0

Dockerfile looks like this: