There is a lot of low-hanging fruit available in teaching people from research backgrounds about what we would consider baseline computer use and software development practices. It turns out there is a large population of brilliant people who can accomplish things in Python that I can barely comprehend in abstract, much less line for line, who have also never heard of Git, unit testing, or modularity.

Everyone starts from somewhere. No matter how “developed” a field is. I think we should encourage the learning no matter what level people are instead of being scornful of how “advanced” a field of study or the people within it are. There are many reasons people might not be familiar with these commands. One super simple one is if they come from a windows background where often guis take precedence over the command line.

Regardless of how "undeveloped" the field of data science is, the fact remains that every professional data scientist should know these tools.