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_2

2. Docker

Joshua Cook¹ 

(1)Santa Monica, California, USA

Docker is a way to isolate a process from the system on which it is running. It allows us to isolate the code written to define an application and the resources required to run that application from the hardware on which it runs. We add a layer of complexity to our software, but in doing so gain the advantage of ensuring that our local development environment will be identical to any possible environment into which we would deploy the application. If a system can run Docker, a system can run our process. With the addition of a thin layer of abstraction we become hardware independent. On its face, ...