How to Roll your own Dockerized Jupyter Environment
summary
Builds a reproducible, cloud-hostable Jupyter notebook image using Docker and the Anaconda stack, with a Dockerfile that exploits layer caching and avoids COPY-invalidated rebuilds. Runs containers on Windows via Hyper‑V + a Linux VM, controls them from PowerShell, exposes port mappings and token-based authentication, pushes gigabyte images to Docker Hub and has students pull them. Encounters port conflicts, leftover containers and image maintenance, supports multiple kernels and mostly works for classroom reproducibility.
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chapters (10)
- 0:00Dockerized Jupyter intro
- 2:54Jupyter architecture
- 7:34Live Docker setup demo
- 10:37Docker container issues
- 13:29Docker solves environment problems
- 14:11VMs vs Docker containers
- 18:36Building Jupyter Docker images
- 24:35Jupyter Docker Stacks
- 26:53Jupyter notebooks benefits
- 30:51Audience questions and feedback
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