Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server By Joshua Cook
English | PDF | 2017 | 266 Pages | ISBN : 1484230116 | 6.94 MB
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. The set may not fit well into access memory or may require prohibitively long processing.