Containers and material for the Accel.ai Demystifying Deep Learning and AI Workshop July 21st - 23rd, 2017.

If you haven't used Docker before, a good place to start is the Docker User Guide.

• For those running a linux distro, you should be able to apt-get/yum docker.
• For those on OS X, you'll need to check out Docker for Mac || Docker Toolbox for Mac (Legacy)
• For those on Windows, you'll want to go to Docker for Windows || Docker for Windows 7 (Legacy)

The Miniconda3-based and Miniconda2-based images are hosted at the Docker Hub. You can grab them with:

Python 3.6.1

docker pull accelai/datascience-base

Python 2.7.11

docker pull accelai/datascience-base_27

The README.md in datascience-base/ and datascience-base_27give an overview of how to use those images to run containers locally, and start a Jupyter server for Notebooks.