Yes you're doing it wrong. It's effectively Linux tech, and attempts to shoehorn it into Windows can only cause pain. Run it on Linux and it's very smooth. I

Yes you're doing it wrong. It's effectively Linux tech, and attempts to shoehorn it into Windows can only cause pain. Run it on Linux and it's very smooth. I just had this discussion with a colleague. It does, semi-half-assedly but quite effectively, what nix promises. You can make hermetic images of not just binaries (that'd only be as good as static linking) but of entire machines (sans Linux kernel, because you're running what the host runs, but that's always Linux so it's fine, and when it's not Linux you're not having a good day). Wrap that up in a stackable system (build your own images atop of others) and a way to quickly run processes out of images, and you've got yourself a highly portable and reusable system for apps. Want to build an app to run on a random k8s node in AWS? shove it in a docker image and now you've just got to write some yaml. Got a few python libraries that you want packaged atop of all of pandas+jupyter+numpy+whateverelse? Reference a stock jupyter prebuilt image (there are many official ones you can start with) and add thew few packages you want in a Dockerfile, and bam, you've got a redistributable data science appliance as a docker file. I can build docker images on my laptop and then run them on my crappy celeron nas for months without thinking twice about it.