Everywhere I've worked, I've had a few cases where we updated some dependencies on machine A (e.g. a developer's macbook), everything ran fine, we did the same

Everywhere I've worked, I've had a few cases where we updated some dependencies on machine A (e.g. a developer's macbook), everything ran fine, we did the same updates on machine B (e.g. an Ubuntu EC2 instance) and everything broke. This is especially case with the numpy/scipy/pandas/etc. ecosystem. In one case this took days to fix, which is insane. I haven't had that experience with any other language. It's worth noting that all of these involved anaconda, which was the recommended way to install numeric libraries at the time. Other package managers might be better.