docker_images

Docker image(s) for softwareQ tools

Installation

First install Docker, then clone this repository and cd into it by executing

git clone https://github.com/softwareqinc/docker_images && cd docker_images

Next build the image by executing

docker build -t softwareq-tools .

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Run the Jupyter server in a container by executing

docker run -p8890:8890 -it --workdir=/home/sq/notebooks softwareq-tools sh -c "jupyter notebook --port=8890 --no-browser --ip=0.0.0.0"

The output of the docker run command should be similar to

To access the server, open this file in a browser:

file:///home/sq/.local/share/jupyter/runtime/jpserver-7-open.html Or copy and paste one of these URLs:

http://c19114f6e736:8890/tree?token=2412fa2d0a9a4b1ad79528715ed41db3c251f393de7d213d

http://127.0.0.1:8890/tree?token=2412fa2d0a9a4b1ad79528715ed41db3c251f393de7d213d

To connect to the Jupyter environment, launch a browser at one of the hyperlinks produced by docker run, which should be similar to the ones above (the token value will of course be different in your case).

See the notebooks directory for Jupyter Notebook examples.

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In case you want to use the Docker container as a development environment, mount your directory (in this case the current directory) in a Docker container with

docker run --rm -it --workdir=/home/sq/hostdir -v ${PWD}:/home/sq/hostdir softwareq-tools /bin/bash