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Python virtual environment5/30/2023 ![]() ![]() That is local to the project that you're working on, but also they can be more of a centralized managerial management, not managerial, my goodness. There's actually two main ways that I've seen people, and I have done this as well, managed virtual environments. But in the long-term that can get a little odd. Wow, slurring my speech a little, I don't know, mumble. And well, virtual environments, we saw in our previous episode that we can create them and they allow us to kind of sequester our installation of packages to a particular folder, effectively a copy of our Python interpreter. Justin Dennison, how's it going, Justin? - Yeah, you're kind of joining us back after we got started with a series. ![]() Now, I don't know exactly what we're going to be managing, hopefully my life, because it's hard out there, you know? So the fellow who's going to help us out with that is Mr. And more specifically, we're going to be talking about virtual environment manage. I'm your host, Aubri Spurgin, and this is Using Community Code. (upbeat music) (keys clattering) (logo whooshing) - Hello and welcome to another exciting episode here at Dev Pro TV. ![]()
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