How to address the issue of no response when running code in Jupyter?

If Jupyter does not respond when running code, you can try the following solutions:

1. Check the kernel status: Click on the “Kernel” option in the toolbar above the Jupyter interface, then choose “Restart” or “Restart and Clear Output” to restart the kernel.
2. Check for syntax errors in the code: if there are any syntax errors, Jupyter may not be able to correctly parse and execute the code. Check for spelling errors, missing parentheses, or quotes in the code.
3. Check for logical errors in the code: there may be logic errors that cause the program to malfunction or enter an infinite loop. Carefully review the logic of the code to see if there are any errors.
4. Check code dependencies: Make sure that any libraries used in the code are properly installed and accessible.
5. Check if the Jupyter version and kernel version are compatible: The version of Jupyter and the version of the kernel need to be compatible. If incompatibility is found, try updating both the Jupyter and kernel versions.
6. Restarting the computer: Sometimes rebooting the computer can solve unknown issues.

If the above methods still don’t solve the problem, you can try running the code outside of Jupyter in a regular Python environment to determine if the issue lies with Jupyter itself.