Python Virtual Environments
Question
Which two actions do Python virtual environments allow users to perform? (Choose two.)
Answers
Explanations
Click on the arrows to vote for the correct answer
A. B. C. D. E.DE.
https://realpython.com/python-virtual-environments-a-primer/Python virtual environments allow users to create isolated, self-contained environments for Python development. These environments can be customized with specific Python versions and modules, allowing developers to work on multiple projects with different dependencies without interfering with each other.
The two actions that Python virtual environments allow users to perform are:
E. Quickly create an isolated Python environment with module dependencies: Creating a Python virtual environment allows you to create an isolated environment that doesn't affect your system's global Python installation. You can easily create a new virtual environment for each project and install only the required dependencies for that project. This helps in avoiding dependency conflicts and ensures that your project is using the correct versions of the dependencies.
D. Quickly create any Python environment for testing and debugging purposes: Python virtual environments make it easy to create new environments for testing and debugging purposes. This is particularly useful if you are working on a large project with multiple developers. With virtual environments, each developer can create their own environment for testing and debugging, without interfering with the codebase.
Option A is incorrect because Python virtual environments do not directly simplify the CI/CD pipeline when checking a project into a version control system, such as Git. However, they do help in managing dependencies, which is an important part of the CI/CD pipeline.
Option B is incorrect because Python virtual environments do not help in porting code between different languages. Each language has its own syntax and structure, and converting code between languages requires a thorough understanding of both languages.
Option C is also incorrect because Python virtual environments do not simulate other operating systems within a development environment. However, virtual machines or containerization technologies can be used for this purpose.
