Enabling in-browser scientific computing with Wasm: David Kircos of Quadratic

On this WasmAssembly podcast episode, host Thomas Steiner speaks with David Kircos from Quadratic. They discuss how Quadratic's spreadsheet utilizes WebAssembly to enable scientific computing directly in the browser, leveraging tools like Pyodide, pandas, and numpy. The conversation also covers practical challenges such as bundling large-scale Wasm applications, exploring browser limitations, and Quadratic's integration of AI.   Resources: David Kircos on LinkedIn → https://goo.gle/4jcpQg6  Building on the modern web app architecture → https://goo.gle/4hPpcnH  Pyodide → https://goo.gle/445YEv9  Pandas → https://goo.gle/4ldvkcp  Numpy → https://goo.gle/3E1qSNb  Esbuild-wasm → https://goo.gle/4hRqNJL  Using JavaScript in a spreadsheet → https://goo.gle/3XIRk4W  Making API requests from your spreadsheets → https://goo.gle/3FQQPja  Quadratic Python roadmap: building a spreadsheet developers love → https://goo.gle/446dLot  ES module integration proposal → https://goo.gle/3C8wd3L  AI spreadsheets are here: Quadratic + GPT → https://goo.gle/4hZpFUB   Database connectors → https://goo.gle/3QXMs8g  SQLite Wasm → https://goo.gle/3FSn3dW  Quadratic's GitHub organization → https://goo.gle/4jhWqNY