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Several times now, I've seen advice in tutorials, setup/install instructions for Python-based projects, etc. to use a virtual environment to keep things organized and make it simpler to manage the ...
#1: Initial revision
by
Karl Knechtel
·
2024-06-14T11:40:51Z (6 months ago)
Understanding Virtual Environments for Python
Several times now, I've seen advice in tutorials, setup/install instructions for Python-based projects, etc. to use a *virtual environment* to keep things organized and make it simpler to manage the code. It sounds like this means having [yet another installation](https://software.codidact.com/posts/291616) of Python on my computer. Does it really work that way? Why would I want to do this, when I'm already having headaches keeping track of multiple separate versions of Python? What does creating and "activating" a virtual environment do, and how can I benefit from this?