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
1.`cd jupyter-kernel-execution-sample`
1.`code .`: Open the folder in VS Code
1. Run `npm install` in terminal to install the dependencies
1. 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
1. Open a Jupyter Notebook and select a Python kernel and execute some code.
1. Select the command `Jupyter Kernel API: Execute code against a Python Kernel`
1. Select the a Kernel and then select the Code to execute.
1. Watch the output panel for outputs returned by the kernel.
### Notes:
1. Make use of the `language` property of the kernel to ensure the language of the code matches the kernel.
2.`getKernel` API can can return `undefined` if the user does not grant the extension access to the kernel.
3. Access to kernels for each extension is managed via the command `Manage Access To Jupyter Kernels`.
