Objective

This repository contains the materials that are used in the MoDELS tutorial of physical systems modelling for software engineers, in 2019.

Running the Materials

Build the corresponding docker image (each requires about 5GB of disk space):

docker build -f DockerfileTutorials123567 -t jupyter .

docker build -f DockerfileTutorials4 -t jupyter .

This will download all dependencies you need to run the examples. You might need root access.

Note the host's ip address by running:
```
docker-machine ip
```
Let us denote it by MACHINE_IP
Run the docker container:
```
docker run --name jupyterrun -p 8888:8888 -t jupyter
```
This will start a container with name jupyterrun of the image tagged with jupyter and will forward any traffic going into port 8888 (in the host machine) to the same port in the virtual machine. If a token is given, copy it so that you can later access the jupyter notebook from your browser. Let TOKEN denote the token given.
Open your browser and navigate to http://MACHINE_IP:8888/. If asked for a token, insert TOKEN.
Explore the examples.
Any changes made in the notebooks affect only the files inside the container. To retrieve them, either use the notebook interface to download them to your computer (File -> Download As -> Notebook), or detach from the jupyterrun container (typing Ctrl+C on docker's console), and use the following command on docker's console:
```
docker cp jupyterrun:/opt/notebooks/tutorial mytutorial
```
Which will copy all files under the tutorial folder to the mytutorial folder in the repository.
To terminate and clean up, run the following commands
```
docker stop jupyterrun && docker rm jupyterrun
```

This is usually caused by having pre-existing docker images in your pc. Since docker allocates a virtual hard disk for them, this disk may be full.

One solution is to run, in the docker terminal:

docker image prune

Which should reclaim some space.