Jupyter

Network

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IP:	192.168.88.18
MAC:	6A:1B:42:9D:D6:4B
Domain:	jupyter.flowerhouse.at

System

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OS:	Debian Bullseye
RAM:	4096MB
Cores:	4
Privileged:	No

The Jupyter-LXC is reachable under 192.168.88.18 which is located in the ServerVLAN.

The subdomain is jupyter.flowerhouse.at which is handled by the ReverseProxy.

Basic Setup

Installation

Install required packages

apt install python3-pip npm

Install JupyterHub, responsible for managing multiple users

python3 -m pip install jupyterhub

Install Proxy needed by JupyterHub

npm install -g configurable-http-proxy

Install webinterface and notebook

python3 -m pip install jupyterlab notebook

Configuration

Create config file

Create folder for config

mkdir /etc/jupyterhub

Generate config file

jupyterhub --generate-config -f /etc/jupyterhub/jupyterhub_config.py

Create systemd service

Create service file

nano /etc/systemd/system/jupyter.service

Add this content to file

[Unit]
Description=Jupyterhub
After=syslog.target network.target

[Service]
User=root
Environment="PATH=/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/opt/anaconda3/bin"
ExecStart=jupyterhub -f /etc/jupyterhub/jupyterhub_config.py

[Install]
WantedBy=multi-user.target

Reload systemd

systemctl daemon-reload

Start Jupyter and check if its running

systemctl start jupyter
systemctl status jupyter

Start Jupyter at boot

systemctl enable jupyter

Create/Add user

Create new user

adduser [username]

Extensions/Kernels

SageMath

Install SageMath Kernel

apt install sagemath

AI

Tensorflow

Install Tensorflow with pip

pip3 install --upgrade tensorflow requests

Check if installation works

python3 -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"

As server has no GPU, disable it with environment varible:

export CUDA_VISIBLE_DEVICES="-1"

Keras

Install Keras

apt install keras

Sources

• Jupyterhub
• SageMath on Jupyterhub
• Manage Jupyterhub Kernels
• Basic User Management