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Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server Joshua Cook 1st edition
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Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
Joshua Cook
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 to be easily managed.
257 pages, 76 Illustrations, color; 21 Illustrations, black and white; XXI, 257 p. 97 illus., 76 ill
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