Pre-requisites: Docker setup

Linux:

• Install Docker. Instructions for your OS can be found in the docker installation page

Mac & Windows:

• WINDOWS ONLY: MAKE SURE you have virtualization enabled (instructions included on the docker setup). You might have to enable it on the BIOS.
• Install Docker ToolBox
• Launch Docker Quick Start Terminal (in order for the "default" machine to show up in VirtualBox)
• Enable forwarding of ports 4040 and 9995 from the VM to your local host. To access the VM settings:
  • Open VirtualBox
  • Shut Down the "default" machine
  • Click on the docker vm (usually, it's "default") and click "Settings"
    • On the "System" menu, you can increase the RAM (at least 4Gb) and the amount of cpus used by the VM.
    • On the "Network" menu, click "Advanced" and then click "Port Forwarding". Add an entry like this (the name isn't really important..)
      • Name: p9995
      • Protocol: TCP
      • Host IP: 127.0.0.1
      • Host Port: 9995 (You can change it if you are using it for something else)
      • Guest IP: (Leave it blank)
      • Guest Port: 9995
    • Do the same for port 4040

Setup the training docker image

• Clone the git repository (if you don't have git, just browse to the repository and click "Download as ZIP":

cd /c/Users/Foo/Projects/ # or any folder where you want to put the training material
git clone https://github.com/alghimo/intro-to-dataframes.git

• Build the image:
  • Linux: Just open a terminal
  • Windows / Mac: (Re-)Open the Docker Quickstart Terminal.
  • Build the image and run it. Assuming that you cloned the repo to "C:\Users\Foo\Projects\intro-to-dataframes":

cd intro-to-dataframes/
docker build -t alghimo/intro-to-dataframes:latest . # This requires a good internet connection and some patience...
docker run -d -p 9995:9995 -p 4040:4040 -h zeppelin --name zeppelin alghimo/intro-to-dataframes:latest -d

- Browse to [http://localhost:9995](http://localhost:9995)

Stopping / restarting the environment.

• Stop the training environment

docker stop zeppelin

• Additionally, on Windows / Mac, if you won't not keep working with Docker:

docker-machine stop default

• Start the existing training environment

docker start zeppelin

NOTE: If for some reason Zeppelin is not working after starting the environment again, you can manually restart it by running this:

docker exec zeppelin /zeppelin/bin/zeppelin-daemon.sh restart