I run notebooks in Google Colab and there I install miniconda and create an appropriate environment for the application. It is good to be able to read out what Python version you actually have in the environment.
For example:
Calling platform.python_version() gives 3.10.12
Calling !Python --version gives 3.12.2
Calling !conda list python gives also 3.12.2
Seems to me that platform.python_version() refers to some other Python installation that I am not aware of. Likely in this example what !conda list gives is the relevant information for the local environment, right?
And what is this other Python installation really?
So, notebooks are run using python kernels. And the kernel could be different from the default kernel in your bash/zsh or CommandPrompt terminal.
When you run this snippet you get python version that is used inside the Jupyter Notebook (Notebook kernel).
platform.python_version()
In comparison when you run the code below you get python env that is used in your bash/zsh/CommandPrompt terminal.
!Python --version gives 3.12.2
!conda list python gives also 3.12.2
Most likely this means that your 3.12.2 environment doesn't have a jupyter lab installed and thus command jupyter points to some other environment.
Also as a solution I would recommend to create new python kernel in the Jupyter Notebook and in the kernel path specify python path that you'd like to use during coding.