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: | |
|---|---|
| Corporate Author: | |
| Language: | English |
| Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2017.
|
| Edition: | 1st ed. 2017. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-4842-3012-1 |