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

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

Joshua Cook

257 pages • first pub 2017 (editions)

challenging informative medium-paced
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Description

Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.It is not uncommon for a real-world data set to fail...

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