Virtual environmentsĪ virtual environment is a built-in way to create an environment to isolate the packages you install per workspace. This lets you isolate what packages you install for your workspace so that they don't interfere with your needs in another workspace. Both types of environment allow you to install packages without affecting other environments. There are two types of environments that you can create for your workspace: virtual and conda environments. You typically want to create an environment for each workspace. Any packages that you install or uninstall affect the global environment and all programs that you run within it.ĭo note that if you install packages into your global environment, though, in time it will become crowded with potentially unrelated or unexpected packages and make it difficult to properly test an application. For example, if you just run python, python3, or py at a new terminal (depending on how you installed Python), you're running in that interpreter's global environment. Python environments Global environmentsīy default, any Python interpreter installed runs in its own global environment. Note: If you'd like to become more familiar with the Python programming language, review More Python resources. An "environment" in Python is the context in which a Python program runs and consists of an interpreter and any number of installed packages. This article discusses the helpful Python environments features available in Visual Studio Code. Configure IntelliSense for cross-compilingĮdit Using Python environments in VS Code.
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