You almost need to use Docker for deploying Python because the tooling is so bad that it's otherwise very difficult to get a reproducible environment. For many other languages the tooling works well enough that there's relatively little advantage to be had from Docker (although you can of course still use it).

And how do you know everything is ok when you build your new docker image?