VSCode can open GoNB notebooks as a normal tab. When opening it will ask the kernel to use, and if you have GoNB installed it will offer it as an option.
There are some caveats though:
VSCode doesn't talk Jupyter's Completion protocol
and hence won't make use of the auto-complete or contextual information that GoNB offers (using gopls).
For Python VSCode relies on IntelliSense.
VSCode does not "render" mimetype text/javascript properly, instead it just displays it as text. Hence gonbui.ScriptJavascript won't work.
That affects widgets (it won't work), and
Plotly (only up to version 0.9.6, after that it
started using gonbui.DisplayHtml and should start working).
Example, the following doesn't work:
import "github.com/janpfeifer/gonb/gonbui"
%%
gonbui.ScriptJavascript(`<script>alert('hello');</script>`)But the following does:
import "github.com/janpfeifer/gonb/gonbui"
%%
gonbui.DisplayHtml(`<script>alert('hello');</script>`)It's an experimental feature for GoNB, but in VSCode for various reasons won't work either.
"Polyglot Notebooks for VS Code. Use multiple languages in one notebook with full language server support for each language and share variables between them."
Unfortunately, they don't list Go as a supported language.
Installing it does require installing .NET SDK.
I'm not an expert, so I'm not sure where VSCode sends the logs (stderr) of GoNB kernel execution. But GoNB has an
option to also output its logs to a specific file: --extra_log=<output>. You can install it with this flag, restart
VSCode, and the logs will appear on the given file.
Example: let's say you are in the directory where you cloned gonb repository, you can install your current version
of GoNB set up to also log to the file /tmp/gonb.out with:
go run . --install --logtostderr --vmodule=goexec=2,specialcmd=2,cellmagic=2,gopls=2,connection=2 --extra_log=/tmp/gonb.out- VSCode Jupyter Notebooks
- Renderers for Jupyter Notebooks in Visual Studio Code: presumably adds renderes to several specialized mime-types, including a specialized plotly mime type, that one could take advantage of. I haven't tried it.
- vscode-jupyter wiki: IPyWidgets (a lot going on!)
- vscode-jupyter wiki: React WebViews: Variable Viewer, Plot Viewer, and Data Viewer
- vscode Extension Notebook API Renderer