You define Jupyter-like code cells within Python code using a # %% comment: # %% msg = "Hello World" print (msg) # %% msg = "Hello again" print (msg) Once the appropriate environment is activated, you can create and run Jupyter-like code cells, connect to a remote Jupyter server for running code cells, and export Python files as Jupyter notebooks. To select an environment, use the Python: Select Interpreter command from the Command Palette ( ⇧⌘P (Windows, Linux Ctrl+Shift+P)). To work with Jupyter notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Jupyter package. View, inspect, and filter variables using the Variables Explorer and Data Viewer.Run code in the Python Interactive Window.This topic covers the support offered through Python code files and demonstrates how to: Visual Studio Code supports working with Jupyter Notebooks natively, as well as through Python code files. Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook. ![]() ![]() Configure IntelliSense for cross-compiling.
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