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Enabling in-browser scientific computing with Wasm: David Kircos of Quadratic
Manage episode 479602739 series 3617398
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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
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