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Coding :: Docker Containers to speed up your setup
Data for good challenges bring people to work together for a short period of time. You don't want to have to completely change the setup on your machine to contribute to a project over a 2-4 weeks period.
Docker containers offer you a way to share a full setup between team members without having to change the usual setup on your machine.
Getting Started With Docker Containers
Docker for data science (slideshare) by GalvinGiles.
Data Science and Docker working together
Rocker: Docker containers for R
Data-science dockerfile by @tristanwietsma, with ipython-notebook, python-numpy python-setuptools python-scipy, libopenblas-dev, python-matplotlib, python-pandas, python-sklearn
datascience-docker by @wiseio, with anaconda, scipy, numpy, scikit-learn, scikit-image, pandas, matplotlib seaborn, ipython-notebook
Rocker - Dockerfiles for different Docker containers of interest to R users.