Question 1

How do I install GoNB on Windows?

Accepted Answer

GoNB does not support native Windows installation. You must use Windows Subsystem for Linux (WSL) or run it inside a Docker container, following the Linux instructions within those environments.

Question 2

Can GoNB use Python libraries for data science?

Accepted Answer

No, GoNB is specific to Go and cannot directly import Python libraries. You'll need to rely on Go's data science packages, which are growing but less extensive than Python's ecosystem.

Question 3

How does GoNB handle Go modules in notebooks?

Accepted Answer

It fully supports go.mod and go.work files, allowing dependency management and version control just like in standard Go projects. Cells are compiled within the module context.

Question 4

Is GoNB stable for classroom or production use?

Accepted Answer

While feature-rich, GoNB is experimental and may evolve with breaking changes. It's great for exploration and teaching, but for production, consider its unstable nature.

Question 5

How to debug Go code in Jupyter with GoNB?

Accepted Answer

Use the integrated gdlv debugger by invoking debug commands in cells, such as through %help. The tutorial provides examples for setting breakpoints and inspecting variables interactively.

Question 6

GoNB vs gophernotes: which is better?

Accepted Answer

GoNB is a more modern fork with active development, adding features like gopls integration, rich visualizations, and debugging support. For new users, GoNB is generally recommended over gophernotes.

Question 7

Can I use GoNB with Google Colab?

Accepted Answer

Yes, GoNB works with Google Colab; there's a demo notebook that bootstraps it online. You can upload the provided example to Colab and run Go cells interactively.

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