Debug School

rakesh kumar
rakesh kumar

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Error:you may need to restart the kernel to use updated packages. jupyter

Reference
Error

Collecting bs4
  Downloading bs4-0.0.1.tar.gz (1.1 kB)
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: beautifulsoup4 in c:\users\nischay kumar\anaconda3\lib\site-packages (from bs4) (4.11.1)
Requirement already satisfied: soupsieve>1.2 in c:\users\nischay kumar\anaconda3\lib\site-packages (from beautifulsoup4->bs4) (2.3.2.post1)
Building wheels for collected packages: bs4
  Building wheel for bs4 (setup.py): started
  Building wheel for bs4 (setup.py): finished with status 'done'
  Created wheel for bs4: filename=bs4-0.0.1-py3-none-any.whl size=1264 sha256=e989dfef007a908a410595fd0d39a3b6c8b34bf580ce1c274abc37dc438be013
  Stored in directory: c:\users\nischay kumar\appdata\local\pip\cache\wheels\e4\62\1d\d4d1bc4f33350ff84227f89b258edb552d604138e3739f5c83
Successfully built bs4
Installing collected packages: bs4
Successfully installed bs4-0.0.1
Note: you may need to restart the kernel to use updated packages.
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Note: you may need to restart the kernel to use updated packages

To resolve the Jupyter issue "Note: you may need to restart the kernel to use updated packages":

Restart your kernel and try refreshing the browser.
Try running the pip install command with the --upgrade option.
Create a new virtual environment and switch to it in Jupyter Notebook.

Restarting the kernel

The first thing you should try is to restart the kernel.

To restart the kernel:

Click on Kernel in the top menu.
Click on Restart and confirm by clicking on the Restart button again.

Image description

To restore your variables rerun your code by pressing CTRL + Enter or clicking on the > Run button.
If the message is still shown when installing packages, try to refresh the page in your browser by pressing F5.

Use the --upgrade flag when installing
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If the message is still shown, try to issue the pip install command with the --upgrade option.

!pip install numpy --upgrade
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