AWS EC2 Launch Jupyter Notebook/Lab Server with linux screen
Part 1: Create AWS EC2 Instance
Part 2: SSH to your EC2 instance (Ubuntu)
In your terminal with keypem.pem in your current folder:
sudo ssh -i “keypem.pem” ubuntu@ec2–ip-address.region.compute.amazonaws.comPart 3: Install Anaconda on Ubuntu
Part 4: Start a Jupyter Notebook/Jupyter Lab Server
Step 1: In the terminal of your EC2 Ubuntu environment
ipythonStep 2: In ipython
from IPython.lib import passwd#set up your password and save it somewhere
passwd()quit()
Step 3: In the terminal
jupyter notebook --generate-configmkdir certscd certssudo openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pemcd ~/.jupyter/nano jupyter_notebook_config.py
Step 4: Copy and Paste into jupyter_notebook_config.py
c = get_config()c.IPKernelApp.pylab = 'inline'c.NotebookApp.certfile = u'/home/ubuntu/certs/mycert.pem'c.NotebookApp.ip = '*'#or try this
#c.NotebookApp.ip = ‘0.0.0.0’c.NotebookApp.open_browser = False# Your password below will be whatever you copied earlier
c.NotebookApp.password = u'your ipython password'c.NotebookApp.port = 8888
Step 5: In the terminal
screen -mdS jupyter_lab_serving bash -c 'jupyter lab'#kill all screens: pkill screen
So that you will keep the jupyter notebook running even if you close the terminal.
Step 6: In the web browser:
https://public-ip-address:port/“Your connection is not private” — click advance and allow.
Enter passoword.
You should have your Jupyter lab running!!!
Tip1: If you have permission error
sudo chown $USER:$USER /home/ubuntu/certs/mycert.pem
Tip 2: If you have security group problem
Just add ‘8888’ or whatever port your choose to your security group.
Tip 3: make sure use https:// not http
