Docker for Data Science Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server /

• Κύριος συγγραφέας: Cook, Joshua (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2017.
• Θέματα: Computer science.; Computers.; Computer Science.; Big Data.; Computing Methodologies.; Open Source.; Python.

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...

Πίνακας περιεχομένων:

• Chapter 1:  Introduction
• Chapter 2:  Docker
• Chapter 3: Interactive Programming
• Chapter 4: Docker Engine
• Chapter 5: The Dockerfile
• Chapter 6: Docker Hub
• Chapter 7: The Opinionated Jupyter Stacks
• Chapter 8: The Data Stores
• Chapter 9: Docker Compose
• Chapter 10: Interactive Development.