Book description
- Master interactive development using the Jupyter platform
- Run and build Docker containers from scratch and from publicly available open-source images
- Write infrastructure as code using the docker-compose tool and its docker-compose.yml file type
- Deploy a multi-service data science application across a cloud-based system
Product information
- Title: Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
- Author(s):
- Release date: August 2017
- Publisher(s): Apress
- ISBN: 9781484230121
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