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Docker for Data Science
- Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
- Binding:
- Paperback
- Pages:
- 257
- Published:
- August 24, 2017
- Edition:
- 1
- Dimensions:
- 234x158x20 mm.
- Weight:
- 462 g.
Delivery:
1-2 weeks
Expected delivery: December 12, 2024
Description of Docker for Data Science
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.
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