A Python virtual environment is a tool used to isolate specific Python environments on a single machine, allowing for separate dependencies and packages for different projects. This is useful in cases where you have different projects with conflicting package requirements or if you want to test out new packages without affecting your main Python installation. Virtual environments are useful for managing package dependencies for different projects on a single machine. Here are a few benefits of using virtual environments: Isolation of packages: With a virtual environment, you can install packages for a specific project without worrying about affecting the packages installed in the global Python environment. This is especially useful when you have conflicting package dependencies or if you want to use a specific version of a package for a particular project. Organization: Virtual environments help you keep your projects organized by allowing you to create separate environments for each p...
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