![]() Please follow the Python Extension ReadMe instructions to get started and visit the Python Documentation to learn more about how the Python and Jupyter Extension are working together to provide an optimum Python notebooks experience. To start a lightweight debugging session and run code cells line by line in Python notebooks, press F10 while selecting a cell or click the Run by Line button on the cell toolbar. Once you start a Run by Line session the Variable Explorer will appear and variable values will update as you iterate through your code. To run through the rest of the cell during a Run by Line session hit Ctrl+Enter. To stop, you can click the interrupt button on the left side of the cell. ![]() The Jupyter Extension supports other languages in addition to Python such as Julia, R, and C#. Step 2 If not working with Python, make sure to have a Jupyter kernelspec that corresponds to the language you would like to use installed on your machine. To create a new notebook open the command palette (Windows: Ctrl + Shift + P, macOS: Command + Shift + P) and select the command "Create: New Jupyter Notebook" Open or create a notebook file and start coding. Jupyter: Export to HTML Jupyter: Export to PDFĬreate a presentation-friendly version of your notebook in HTML or PDF Select or switch kernels within your notebookĬhange the language of the cell currently in focus Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux) and type in one of the following commands: Command Select your kernel by clicking on the kernel picker in the top right of the notebook or by invoking the "Notebook: Select Notebook Kernel" command.Ĭhange the cell language by clicking the language picker or by invoking the "Notebook: Change Cell Language" command. ![]() To see all available Jupyter Notebook commands, open the Command Palette and type Jupyter or Notebook.
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