Agreed. I think options B and E are pretty silly though. Sharing virtual memory between subprocesses and multiple virtual machines? That's just not how virtual environments work.
Haha, imagine trying to manage all your Python projects with the same set of dependencies. That would be a nightmare! Option D is definitely not the way to go.
Yeah, I was thinking the same thing. The ability to use different Python versions is also a huge benefit. I can't imagine working on multiple projects without virtual environments.
Hmm, this question seems pretty straightforward. The obvious advantages of using Python virtual environments are the ability to isolate dependencies and use different versions of Python for different projects.
Definitely. Being able to isolate different Python versions and dependencies is a huge benefit. I don't even know how people managed without virtual environments back in the day!
I think this is a great question! Virtual environments are such an important part of Python development, and it's crucial to understand the advantages they offer.
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