You May Need to Restart the Kernel to use Updated Packages

You May Need to Restart the Kernel to use Updated Packages

If you are running code in a Jupyter Notebook and you have recently installed a new package or updated an existing package, you may need to restart the kernel in order to use the updated package. Restarting the kernel will clear any variables or functions that you have defined, so you will have to re-run your code from the beginning.

To restart the kernel in a Jupyter Notebook, go to the Kernel menu and select “Restart“. This will terminate the kernel and start a new one, allowing you to use the updated packages.

Alternatively, you can also use the “Restart & Clear Output” option, which will restart the kernel and clear all of the output cells in your notebook. This can be useful if you want to clear the output of your code and start with a clean slate.

Few people recommend you create a New Environment (new_env), Then try this, sometimes the same name with multiple folders may cause this problem.

Step 1: Create a New Environment.

Step 2: Install the packages.

Step 3: Definitely it will work.

Still, the Problem continues means, use google collab!

Few more things to consider when restarting the kernel in a Jupyter Notebook:

  • If you have made any changes to the notebook that you want to save, make sure to save the notebook before restarting the kernel.
  • If you have any long-running processes or code that takes a while to run, it might be a good idea to interrupt the kernel before restarting. You can do this by going to the Kernel menu and selecting “Interrupt”. This will stop the execution of your code and allow you to restart the kernel more quickly.
  • If you are using a virtual environment for your Jupyter Notebook, you may need to re-activate the environment after restarting the kernel. This is because the kernel will be running in a new process, and the environment may not be activated by default. To activate the environment, you can use the source command or the activate command, depending on your setup.
  • If you are using a kernel with a different version of Python than the one that you have installed on your system, you may need to specify the path to the Python executable when you restart the kernel. You can do this by going to the Kernel menu and selecting “Change kernel”. This will allow you to select a different kernel from a drop-down menu.

I hope this helps! Let me know if you have any more questions.

If you have questions and opinions then please feel free to write in the comment box.

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