>> beastly 5G docker image > my beastly 12GB image that even includes Matlab wants a word with you

Perhaps in the next 10 years we will be rediscovering packages. :P

If you are in the business of charging complex prices per bits over the network, then docker seems to be quite a good investment and making it as popular as possible is a good strategy to print money. /s

> If you are in the business of charging complex prices per bits over the network, then docker seems to be quite a good investment and making it as popular as possible is a good strategy to print money. /s

True, that.

To be fair, at least it allows me to avoid lots of the brokenness of Python packaging.

Is always good to report packaging bugs so then people can fix them, do you have examples of python packages that can be improved?

See my previous comments.

tl;dr pip silently breaks my environments, mostly connected to upgrading numpy and other scientific/data science libraries.

Well, to be fair, it is packages - I'm just using Docker (for this section of our stack) as a different sort of VM, essentially. It runs a service manager and a VNC X session, for chrissakes ;)

Our images are 35GB, and I've spent much of the last two weeks breaking up files so we don't hit the 8GB per file limit, and my next week will be trying to avoid hitting the per-layer limit.