If there something else running on port 8888 on your device and you want to run Jupyter Notebook on a different port, then you can achieve this by adding a --port option when you start the notebook and provide the port number.
Example 1: Using --port option
% python3 -m notebook --port 8090
[I 2023-07-26 04:08:37.147 ServerApp] nbclassic | extension was successfully loaded.
[I 2023-07-26 04:08:37.148 ServerApp] notebook | extension was successfully loaded.
[I 2023-07-26 04:08:37.149 ServerApp] Serving notebooks from local directory: /Users/c2ctechtv
[I 2023-07-26 04:08:37.149 ServerApp] Jupyter Server 2.7.0 is running at:
[I 2023-07-26 04:08:37.149 ServerApp] http://localhost:8090/tree?token=e48e77a117b35251c216e87fdde6841fbb638f4405078d6c
[I 2023-07-26 04:08:37.149 ServerApp] http://127.0.0.1:8090/tree?token=e48e77a117b35251c216e87fdde6841fbb638f4405078d6c
[I 2023-07-26 04:08:37.149 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
As you can see that the server started at localhost port 8090 as I wanted.
Example 2: Using the Jupyter Notebook Config File
If you want to change the default port permanently then it is better to go and modify the Jupyter Notebook Config File.
You can do that by modifying or creating a file named jupyter_notebook_config.py under your home ~/.jupyter folder.
c.NotebookApp.port = 8090
Note: If the port is in use, the server will spawn up on the next available port.
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