Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server

© Joshua Cook 2017

Joshua Cook, Docker for Data Science, https://doi.org/10.1007/978-1-4842-3012-1_4

4. The Docker Engine

Joshua Cook¹ 

(1)Santa Monica, California, USA

The Docker engine is the core technology upon which you will do your work. For your purposes, you can think of the Docker engine as the Docker daemon and the Docker client you use to give the daemon instructions. Docker as a whole consists of both the engine and the Hub, the latter of which is used to store images. If I have not emphasized this enough, the magic happens because we can count on the Docker engine to work the same way no matter our underlying hardware (or virtual hardware) and operating system. We build it using the Docker engine, we test it using the Docker engine, ...