simple_to-do_list VS Python-docker

Python contains a variety of Graphical User Interface (GUI) frameworks that are being used by developers to create interactive windows and widget controls. The libraries include: PyQt, Kivy, Tkinter and wxPython. For a sneak peek on GUI development with PyQt, please refer to my GitHub repository on PyQt Interfaces and Desktop To-do list.

This defines which image to inherit from, In this case we are using a Python image with the Python 3.11 version running on a slim version of the Bookwork version of Debian linux. Image definitions can be viewed from the DockerHub TAG link such as the python:3.11-slim-bookworm and official images like this one typically have pretty complicated definitions in order to get them highly optimized.

> You are going to eventually run into the same issue most people trying to use Alpine Linux just because of simplicity and being lightweight run: musl is not a completely ABI-compatible seamless replacement to glibc and might cause issue with statically linked binaries, and other annoying issues you won't foresee.

Well, if all you need is the server to run Docker/Podman, SSH and some other limited amount of packages, it shouldn't be too bad. Of course, there are also horror stories of Alpine resulting in way worse performance in select use cases: https://github.com/docker-library/python/issues/509 and there's the fact that Alpine might be popular inside of containers, but way less so outside.

Also, because of the short EOL cycle, I personally ditched Debian on servers (and Alpine in containers) myself for Ubuntu everywhere: https://blog.kronis.dev/articles/using-ubuntu-as-the-base-fo... A bit of a polarizing move (though RPM distros aren't much better at the moment), but it seems to have worked out for me in the end.

Doesn't mean that someone can't try, though, maybe their use case is suitable for Alpine.

This is the actual raw Dockerfile: https://github.com/docker-library/python/blob/master/3.9/slim-bullseye/Dockerfile

I usually cannibalize Docker Community's examples: Here

Official Docker image of Python 3.10.5-slim

If you want Python v3.7, perhaps try FROM python:3.7 (link)

Navigate into the Python directory and configure and ensure enable-optimization option is added as shown in the command below.

It looks like you are running into this bug: https://github.com/docker-library/python/issues/674