Virtual Python environments allow one to easily switch between different sets of Python libraries.

For example, some large Python projects requires a specific version of Python: They works on Python 3.10, but not 3.9 nor 3.11. Another works only on 3.11. Using virtual environment, you can switch between these two Python version literally in one second. Without virtual environment, you need to execute multiple commands to uninstall existing Python and install a new one of the desired version.

Another similar example is when you need different versions of Python libraries. Say you are doing some AI work using different tools. One requires PyTorch 1.13 while another uses PyTorch 2.0. Virtual environment allows you to install both in different environments and switch between them in one click. Without virtual environment, everytime you switch tools you need to uninstall and install a different version of PyTorch along all its dependencies.
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