Backstage interview
summary
Describes adding multi-threaded Jupyter kernels support and the low-level async socket work required, explains Jupyter Lite compiled to WebAssembly and the tooling around it, and digs into mscript and forge for building WASM packages with concrete engineering tradeoffs and integration pain points. Recounts a concrete early contribution — a one-line C fix to Matplotlib masked arrays — and reports what runs in the browser versus what still fails or needs native threads.
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