Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server - Paperback
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Covers Docker principles with practical examples for effective infrastructure management
Explores high-performance interactive computing using Jupyter Notebook
Demonstrates infrastructure-as-code with Docker Compose for scalable deployments
Provides step-by-step guidance on building custom Docker images for specific data tasks
Includes best practices for deploying multi-service data science applications
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Report copyright infringement by Joshua Cook (Author) Teaches Docker principles with practical examples Covers high-performance interactive computing with Jupyter Presents a unique development method geared toward interactive computing Back Jacket Learn Docker "infrastructure as code" technology to define a system for performing standard but no