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When I run python -V in jupyterlab terminal session, I have Python 3.7.6

When I run !python -V in jupyterlab that kernel name is Python3.11, I have Python 3.6.9

When I run !python3.11 -V in both session, I have Python 3.11.3

I think second part that kernel name is 'Python3.11' is just name is Python3.11 and version of python is 3.6.9 I want to change python version 3.11 everywhere. I tried but it dosen't work

Thanks

PotatoandSweetPotato
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1 Answers1

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It seems like there might be some confusion between the kernel name and the actual Python version used by JupyterLab. Let's break down what might be happening and how you can address it:

  1. Kernel Name: The kernel name in JupyterLab refers to the specific environment that your notebook is using. This environment can have its own version of Python, packages, and configurations.

  2. Python Version: The Python version you see when you run !python -V or !python3.11 -V in a JupyterLab cell is determined by the environment the notebook is using (i.e., the kernel).

If you want to use Python 3.11 consistently in your JupyterLab environment, here are the steps you can take:

Step 1: Check Installed Kernels In JupyterLab, you can manage your kernels using the jupyter kernelspec list command. Open a terminal and run:

jupyter kernelspec list

This will show you a list of installed kernels along with their paths.

Step 2: Create or Update a Kernel for Python 3.11 If you want to use Python 3.11 as your kernel, you can create a new kernel specification for it. Open a terminal and run:

python3.11 -m ipykernel install --user --name python3.11 --display-name "Python 3.11"

This command will create a new kernel named "Python 3.11" that uses Python 3.11. You can specify a different name if you prefer.

Step 3: Select the Desired Kernel in JupyterLab In your JupyterLab notebook, you should see a dropdown menu that allows you to select the kernel you want to use. Choose "Python 3.11" or the name you specified in the previous step.

This should ensure that your notebook uses Python 3.11 consistently across all code cells. Remember that each notebook can use a different kernel, so you might need to switch kernels for different notebooks if needed.

If you encounter any issues or continue to see discrepancies, make sure that you've installed Python 3.11 correctly and that the kernel specification was created successfully. Also, double-check the paths and configurations related to your JupyterLab installation.

rhunor
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