This is a why-to and how-to guide to using Docker in your data science workflow. It is the companion text to the talk I gave at the PyBay Conference in San Francisco on August 18th. Given its length, I have spread this text out over a three-post series. This is …

Why care about reproducibility? You probably have heard about reproducibility in the context of scientific experiments. It is about providing enough information to the readers of a publication to enable them to run the same experiment and see the same results. This includes information about experimental procedures, materials used, and …