Install slides, restart always

Deployment-notes.md

@@ -0,0 +1,38 @@
+# Deployment Notes
+
+## Push image with tag to Dockerhub
+
+Based on [this](https://ropenscilabs.github.io/r-docker-tutorial/04-Dockerhub.html) tutorial
+with the tag `v1.0_cuda-10.1_ubuntu-18.04`:
+
+```bash
+# on il048:
+cd ~/Documents/projects/GPU-Jupyter/gpu-jupyter
+git pull
+bash generate_Dockerfile.sh
+bash start-local -p 1234
+docker image ls
+docker tag [IMAGE ID] cschranz/gpu-jupyter:v1.0_cuda-10.1_ubuntu-18.04
+docker push cschranz/gpu-jupyter:v1.0_cuda-10.1_ubuntu-18.04
+docker save cschranz/gpu-jupyter > ../gpu-jupyter_tag-v1.0_cuda-10.1_ubuntu-18.04.tar
+```
+
+Then, the new tag is available on [Dockerhub](https://hub.docker.com/repository/docker/cschranz/gpu-jupyter/tags).
+
+
+## Deployment in the swarm
+
+The GPU-Jupyter instance for deployment, that has swarm files and changed pw is
+in `/home/iotdev/Documents/projects/dtz/src/gpu-jupyter`
+
+```bash
+# on il048:
+cd /home/iotdev/Documents/projects/dtz/src/gpu-jupyter
+git pull
+bash generate_Dockerfile.sh
+bash add-to-swarm-with-defaults.sh
+```
+
+Then, the service will be available with data stored in `data` 
+on [192.168.48.48:8848](http://192.168.48.48:8848) with our password.
+

show-local.sh

@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+cd $(cd -P -- "$(dirname -- "$0")" && pwd -P)
+
+# Export default port to make compose file valid.
+export JUPYTER_PORT=8888
+docker-compose ps

src/Dockerfile.usefulpackages

@@ -37,6 +37,7 @@ RUN pip install --no-cache-dir jupyter-tabnine==1.0.2  && \
 RUN fix-permissions $CONDA_DIR
 RUN conda install -c conda-forge jupyter_contrib_nbextensions && \
   conda install -c conda-forge jupyter_nbextensions_configurator && \
+  conda install -c conda-forge rise && \
   jupyter nbextension enable codefolding/main
 RUN jupyter labextension install @ijmbarr/jupyterlab_spellchecker