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  1. Nov 7, 2020 · In Visual Studio Code, you can enter the Python interactive window in the following places: Option 1. F1 Python: Create Python Interactive Window. This is the Python interactive window that comes with Visual Studio Code. You can enter the interactive window without inputting instructions. Please use "Ctrl+Enter" to execute the code: Option 2

  2. Select the Run Python File in Terminal play button in the top-right of the editor. Select one or more lines, then press Shift+Enter, or right-click and select Run Selection/Line in Python Terminal. This option is convenient for testing just a part of a file. Place your cursor on a line of code and press Shift+Enter to activate Smart Send.

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  3. Apr 18, 2024 · The Python Interactive Window lets you enter arbitrary Python code and see immediate results. This approach to coding helps you learn and experiment with APIs and libraries and interactively develop working code to include in your projects.

  4. This topic covers the support offered through Python code files and demonstrates how to: Work with Jupyter-like code cells. Run code in the Python Interactive Window. View, inspect, and filter variables using the Variables Explorer and Data Viewer. Connect to a remote Jupyter server.

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  5. Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The extension makes VS Code an excellent Python editor, and works on any operating system with a variety of Python interpreters.

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  6. Apr 18, 2024 · In Step 3 of the tutorial, you learn how to: Access the Interactive Window for Python and set the Python interpreter. Enter and run code in the window, and scroll the command history. Insert existing code or code from other sources. Copy code and program output from the Interactive Window.

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  8. If you’re working with VS Code on your own computer and want to enable this behavior, or want to know how to change the default behavior of shift-enter back, it’s easy—just open your settings and search for the “Send Selection to Interactive Window” setting for the Jupyter extension.

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