- A Jupyter notebook server must be running in order to create and run Jupyter notebooks.
- This post don't explain how to install the Jupyter notebook server or packages for machine learning in the AWS AMI.
- In this post, you will start a Jupyter notebook server.
In your SSH shell, enter the following command to start the Jupyter notebook server in the background:
nohup jupyter notebook &
nohupcommand, stands for no hangup and allows the Jupyter notebook server to continue running even if your SSH connection is terminated.
- After a couple seconds a message about writing output for the process to the
nohup.outfile will be displayed:
Press enter to return to the shell prompt.
This will allow you to continue to enter commands at the shell prompt.
enter to move to a clean command prompt, and tail the notebook's log file to watch for when the notebook is ready to connect to:
tail -f nohup.out
ctrl+c to stop tailing the log file.
Enter the following to get an authenticated URL for accessing the Jupyter notebook server:
jupyter notebook list
- By default, Jupyter notebooks prevent access to anonymous users. - After all, you can run arbitrary code through the notebook interface.
- The token URL parameter is one way to authenticate yourself when accessing the notebook server.
/home/ubuntuat the end of the command indicates the working directory of the server.
The Jupyter notebook server is now up and running.
- However, you can't connect to the server If there is a security group containing the virtual machine doesn't allow access to port 8888.
- To maintain a secure environment, only port 22 (SSH) is open. You will learn how to access the notebook server in the next post.
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