Jupyter
| IP: | 192.168.88.18 |
|---|---|
| MAC: | 6A:1B:42:9D:D6:4B |
| Domain: | jupyter.flowerhouse.at |
| 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
C++
Install Miniconda
Download install script
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
Run install script and reboot
bash Miniconda3-latest-Linux-x86_64.sh
Update conda
conda update --all
Install Xeus-Cling
Install xeus-cling
conda install xeus-cling -c conda-forge
Add kernel
Add C++11 kernel
jupyter kernelspec install ~/miniconda3/share/jupyter/kernels/xcpp11
Add C++14 kernel
jupyter kernelspec install ~/miniconda3/share/jupyter/kernels/xcpp14
Add C++17 kernel
jupyter kernelspec install ~/miniconda3/share/jupyter/kernels/xcpp17
Restart Jupyter
systemctl restart jupyter
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 variable:
nano /etc/environment
Add following line:
CUDA_VISIBLE_DEVICES="-1"
Keras
Install Keras
apt install python3-keras
