A systemd script for running a Jupyter notebook server.

jupyter.service

# After Ubuntu 16.04, Systemd becomes the default. 
# It is simpler than https://gist.github.com/Doowon/38910829898a6624ce4ed554f082c4dd

[Unit]
Description=Jupyter Notebook

[Service]
Type=simple
PIDFile=/run/jupyter.pid
ExecStart=/home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config=/home/phil/.jupyter/jupyter_notebook_config.py
User=phil
Group=phil
WorkingDirectory=/home/phil/Notebooks/
Restart=always
RestartSec=10
#KillMode=mixed

[Install]
WantedBy=multi-user.target

If you need environment variables for Tensorflow GPU work, and .bashrc usually does the job for you, you need to somehow make those available to the Jupyter service, or else Notebooks that need the GPU won't be able to see it.

Not sure this is the best way, but it's the way I got it to work:

[Unit]
Description=Jupyter Notebook

[Service]
Type=simple
PIDFile=/run/jupyter.pid
# ------------------------------------
Environment="PATH=/usr/local/cuda-10.1/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
Environment="LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64:/usr/local/cuda-10.1/lib64:usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
Environment="CUDA_HOME=/usr/local/cuda-10.1"
Environment="NUMBAPRO_NVVM=/usr/local/cuda-10.1/nvvm/lib64/libnvvm.so"
Environment="NUMBAPRO_LIBDEVICE=/usr/local/cuda-10.1/nvvm/libdevice/"

ExecStart=/home/phil/.local/bin/jupyter-notebook
User=phil
Group=phil
WorkingDirectory=/home/phil/z_Notebooks
Restart=always
RestartSec=10
#KillMode=mixed

[Install]
WantedBy=multi-user.target