Summary
Visual Studio Code now supports working with Jupyter Notebooks natively, and through Python code files.
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Additionally, users can view variables in the Variable Explorer and Data Viewer, connect to a remote Jupyter server
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, and export a Jupyter Notebook as a Python file.
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The Python Interactive window has full IntelliSense, a Plot Viewer, and a Variables Explorer and Data Viewer.
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Additionally, the Python Notebook Viewer and Variables Explorer can be used to view code cells, connect to a remote Jupyter server
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, and export Python files as Jupyter notebooks.
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When a Jupyter notebook file is created or opened, VS Code automatically creates a Jupyter server for you locally by default.
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If you want to use a remote Jupyter server, it’s as simple as using the “Specify Jupyter server URI” command via the VS Code command palette, and entering in the server URI.
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According to
