Docker for Data Science
Docker is a tool that simplifies the installation process for software engineers. Coming from a statistics background I used to care very little about how to install software and would occasionally spend a few days trying to resolve system configuration issues. Enter the god-send Docker almighty.
Think of Docker as a light virtual machine (I apologise to the Docker gurus for using that term). Generally someone writes a *Dockerfile* that builds a *Docker Image* which contains most of the tools and libraries that you need for a project. You can use this as a base and add any other dependencies that are required for your project. Its underlying philosophy is that if it works on my machine it will work on yours.
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