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Freezing Python’s Dependency Hell

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Re: Freezing Python’s Dependency Hell

#151

Earlier quoted context omitted.

I think these and other issues can be solved with technical training.

Sure, they’re all mitigatable, but that technical training is competing with a lot of other considerations within the limited brainwidth of a scientist. From the scientist’s perspective, a lot of this can start to feel like yak shaving. The opportunity costs are real.

Eh, maybe. Virtualbox is point and click at this point, and taken on in conjunction with their institutional IT departments as hopefully they do with all desktop point and click software, totally doable with 5-10 hours of training and some typed desk procedures. Learning new tools and workflow seems to be part of the job. As I type that I also thought of a different response from the perspective of a leader and software engineer, I did not type that response.

Re: Freezing Python’s Dependency Hell

#152
post #90

I'm not sure why the scientists don't use VMs and simply save the virtual disk files? That would at the very least allow them to verify the settings at a later date. Fresh install reproducibility doesn't seem necessary to verify experimental findings as long as the original vm is available to boot up.

VMs are an easy copout to a problem that shouldn't be a problem in the first place.

This is not true, at least not without some sort of context around the work being performed and the requirements of the workflow.
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