Visual Studio Code supports working with Jupyter Notebooks natively, and 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.Use the %pip or %conda magics to install packages in the correct environment. Installing pip or conda packages locally will have no effect, since your Python kernel is running on your JupyterHub.So if you add a new file next to your Jupyter Notebook locally, that is not automatically going to be available to the Jupyter Notebook to read. When you are calling open()(or a helper function that eventually access a file) to read a file, it is going to be read from your remote JupyterHub server’s home directory, not your local system’s current directory. If it has stopped, you need to log in to your JupyterHub & start it again. Your JupyterHub notebook server must be running already when you try to open your notebook - Visual Studio Code will not automatically start it.Tada! That wasn’t so hard, was it? Limitations You can also try importing libraries that are in the remote JupyterHub server, but not your local file system. The kernel for this should now live on your JupyterHub! You can verify this by running !hostname, which should return the hostname of your remote JupyterHub server instead of your local hostname.
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