What are the advantages of Python’s virtual environments?

Python virtual environments have the following advantages:

  1. Independence: Virtual environment can create a separate Python environment that is not affected by the global Python environment of the system, allowing each project to have its own independent dependency libraries.
  2. Package Management: It is possible to install and manage the libraries required for projects in a virtual environment without affecting the global Python environment.
  3. Version control: Python versions can be managed through virtual environments, allowing for use of different Python versions in various projects.
  4. Environment isolation: Virtual environments can maintain the purity and isolation of project environments, avoiding conflicts between different projects.
  5. Portability: Virtual environments can be packaged and transferred to run on other machines, making it convenient for project deployment and sharing.
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