Python virtual environments should be used in cases where there are conflicting Python package versions across multiple projects (Option B) to ensure each project can have its own set of dependencies. Additionally, they are beneficial when starting a new project that requires a clean development environment (Option E), as it allows for a controlled setup without interference from other projects’ dependencies. References := ( Automating Cisco Enterprise Solutions Official Cert Guide )
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