Code more, debug less with virtual environments in Python
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If you've ever shared a neat computer trick, a complex application, or something in between with a friend, then you've probably uttered the phrase, "Well, it works on my computer." No matter how advanced computers become, there seem to be recurrent problems related to the differences in what any two machines have configured or installed. There are ongoing attempts to solve this, and for Python developers, one of the best ways to prevent it is to use virtual environments.
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