rpi-jupyter

Docker container with python Environment for raspberry-pi3 HypriotOS

Install Stable Docker Community Edition

For RaspberryPi3: https://www.raspberrypi.org/blog/docker-comes-to-raspberry-pi/

Running container for the first time

First run docker pull rh02/rpi-jupyter to pull the latest version of image. Run using docker run -it -p 8080:8080 --name notebook rh02/rpi-jupyter. This command downloads the prepared image from a public hub, and starts a bash for you.

Stopping and starting the container

This "stop and start" scenario is useful when you want to take a break and turn off your host machine.

Stopping the container

Save your work inside the container, then run docker stop notebook in different terminal window to stop a running container. You will be able to start it later.

Starting container after stopping

Run docker start -a notebook to run previously stopped container and attach to its stdout. You can continue to work where you left off.

Container checkpoints

You might want to make a checkpoint of your work so that you can return to it later. Think of it as a backup or commit in version control system.

Saving container state

You will first have to stop the container following instructions above. Now you need to save the container state so that you can return to it later: docker commit notebook notebook-snap. You can make sure that it's saved by running docker images.

Creating new container from previous checkpoint

If you want to continue working from a particular checkpoint, you should run a new container from your saved image by executing docker run -it --name notebook2 notebook-snap. Notice that we incremented index in the container name, because we created a new container.