This is a very simple extension sample demonstrating the use of the Jupyter Extension API allowing other extensions to execute code against Jupyter Kernels.

The sample lists finds kernels associated with notebooks that are currently open in the workspace.
The sample the filters the kernels by language, focusing on Python kernels.
Upon selecting a Python kernel, code selected by the user is executed against the selected kernel
The output is displayed in an output panel.
The sample demonstrates the ability to retrieve outputs of various mime types, including streamed output.

Running this sample

cd jupyter-kernel-execution-sample
code .: Open the folder in VS Code
Run npm install in terminal to install the dependencies
Run the Run Extension target in the Debug View. This will:
- Start a task npm: watch to compile the code
- Run the extension in a new VS Code window
Open a Jupyter Notebook and select a Python kernel and execute some code.
Select the command Jupyter Kernel API: Execute code against a Python Kernel
Select the a Kernel and then select the Code to execute.
Watch the output panel for outputs returned by the kernel.

Notes:

Make use of the language property of the kernel to ensure the language of the code matches the kernel.
getKernel API can can return undefined if the user does not grant the extension access to the kernel.
Access to kernels for each extension is managed via the command Manage Access To Jupyter Kernels.