How to solve the issue of not being able to run code after installing Jupyter?

If you encounter issues while running code on Jupyter Notebook, you can try the following solutions:

1. Check kernel connection: Make sure your Jupyter Notebook is connected to the correct kernel. Choose the appropriate kernel from the Kernel menu at the top of the page. If the kernel is not connected or connected incorrectly, your code will not run.
2. Restart the kernel: To restart the kernel, select “Restart” from the Kernel menu at the top of the page. This can sometimes fix issues such as memory leaks or hung processes.
3. Check for code errors: Make sure your code does not contain any syntax errors or other mistakes. In Jupyter Notebook, if any line in a code block has an error, the following code will not run properly. Review and fix any errors that may be present.
4. Check dependencies: Make sure that any external dependencies, such as libraries or modules, are correctly installed and accessible. Failure to properly install dependencies will result in your code not being able to run.
5. Restarting Jupyter Notebook: Sometimes, rebooting the entire Jupyter Notebook can help solve some hard-to-diagnose issues. Close Jupyter Notebook and restart it, then try running your code again.

If none of the above methods help solve the problem, we recommend providing more detailed information, such as error messages or code examples, so that we can better assist you in finding a solution.