Docker

Containerization with Docker, from the first image to reliable daily use. We explain what an image really is, how to write a readable rebuildable Dockerfile, what volumes and networks are for, and how to debug a container that will not start. The angle is data projects: isolate a reproducible Python environment, package a model and its dependencies, run a notebook without polluting your machine. Articles also cover production practices — image size, layer caching, secrets management — and form a foundation before Kubernetes.