Tell your friends about this item:
Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server Joshua Cook 1st edition
Do you have a profile? Log in
Get notified about new Joshua Cook releases
Add to your iMusic wish list
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
More by Joshua Cook
Show allMore from the same publisher
See all of Joshua Cook ( e.g. Paperback Book and Book )