Docker for Data Science Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server /
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...
| Main Author: | Cook, Joshua (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2017.
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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