Jupyter notebooks, jupyter kernels, virtual environment created in Anaconda...

[bytecrunch]

Does choosing one kernel versus the other connect different environments to jupyter? Is that what is going on?

No the are speareted,so have to install eg JupyterLab(which also install the kernel),in each environment.
There had been little point in virtual environment if the shared stuff🧬.
Can do quick demo,here a have older my_env and newer new_env envroment.

C:\Anaconda3
(base) λ activate my_env

C:\Anaconda3
(my_env) λ jupyter --version
Selected Jupyter core packages...
IPython          : 8.9.0
ipykernel        : 6.21.1
ipywidgets       : not installed
jupyter_client   : 7.4.9
jupyter_core     : 5.2.0
jupyter_server   : 2.2.1
jupyterlab       : 3.6.1
nbclient         : 0.7.2
nbconvert        : 7.2.9
nbformat         : 5.7.3
notebook         : 6.5.2
qtconsole        : 5.4.0
traitlets        : 5.9.0

C:\Anaconda3
(my_env) λ activate new_env

conda.bat activate new_env

C:\Anaconda3
(new_env) λ jupyter --version
Selected Jupyter core packages...
IPython          : 8.14.0
ipykernel        : 6.23.1
ipywidgets       : not installed
jupyter_client   : 8.2.0
jupyter_core     : 5.3.0
jupyter_server   : 2.6.0
jupyterlab       : 4.0.1
nbclient         : 0.8.0
nbconvert        : 7.4.0
nbformat         : 5.9.0
notebook         : not installed
qtconsole        : not installed
traitlets        : 5.9.0

# Start JupyterLab from new_env
C:\Anaconda3
(new_env) λ jupyter lab

So in browser can do.

import jupyterlab

jupyterlab.__version__
4.0.1

If i start JupyterLab for my_env it will show version 3.6.1.

For Editors/IDE most choice right environment,eg look at this post for VS Code.
If eg use Spyder you install it to the environment(do not use share one),then start if from command line spyder.

Also a tip try to use command line much to get comfortable with it,many time i just run code from command line in the environment and not involving a editor(of just use to view code).
Then it also help to have something a lot better than cmd/PowerShell like cmder(full)

Thank you snippsat! I fee like a have done what you describe in your examples. I have used the Anaconda terminal to:

a) create a new environment, (new_env)
b) install jupyter notebook inside of the environment itself
c) launched jupyter notebook from it which then opens up

However, without creating a jupyter kernel specific for that environment via:

(new_env) C:\Users\Brett\python_env\ conda install ipykernel # we install the package ipykernel inside the ven1 environment
(new_env) C:\Users\Brett\python_env\ ipython kernel install --user --name=ven1kernel # creates a new kernel
(new_env) (C:\Users\Brett\python_env\ jupyter kernelspec list #lists all jupyter kernels

then the jupyter notebook will NOT be able to access the modules inside the environment....correct?