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- #WORK WITH VIRTUALENV PYTHON IN VISUAL STUDIO CODE HOW TO#
- #WORK WITH VIRTUALENV PYTHON IN VISUAL STUDIO CODE UPDATE#
- #WORK WITH VIRTUALENV PYTHON IN VISUAL STUDIO CODE CODE#
When in command or edit mode, use Ctrl+Enter to run the current cell or Shift+Enter to run the current cell and advance to the next. You can also use keyboard shortcuts to run code.
#WORK WITH VIRTUALENV PYTHON IN VISUAL STUDIO CODE CODE#
Once you have a Notebook, you can run a code cell using the Run icon to the left of the cell and the output will appear directly below the code cell. If you have an existing Jupyter Notebook, you can open it by right-clicking on the file and opening with VS Code, or through the VS Code File Explorer.
#WORK WITH VIRTUALENV PYTHON IN VISUAL STUDIO CODE UPDATE#
Next, select a kernel using the kernel picker in the top right.Īfter selecting a kernel, the language picker located in the bottom right of each code cell will automatically update to the language supported by the kernel. You can create a Jupyter Notebook by running the Jupyter: Create New Jupyter Notebook command from the Command Palette ( ⇧⌘P (Windows, Linux Ctrl+Shift+P)) or by creating a new. If you attempt to open a notebook when VS Code is in an untrusted workspace running Restricted Mode, you will not be able to execute cells and rich outputs will be hidden. Harmful code can be embedded in notebooks and the Workspace Trust feature allows you to indicate which folders and their contents should allow or restrict automatic code execution. When getting started with Notebooks, you'll want to make sure that you are working in a trusted workspace. Once the appropriate environment is activated, you can create and open a Jupyter Notebook, connect to a remote Jupyter server for running code cells, and export a Jupyter Notebook as a Python file. To select an environment, use the Python: Select Interpreter command from the Command Palette ( ⇧⌘P (Windows, Linux Ctrl+Shift+P)). To work with Python in Jupyter Notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Jupyter package.
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#WORK WITH VIRTUALENV PYTHON IN VISUAL STUDIO CODE HOW TO#
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