<description>&lt;p dir="ltr"&gt;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.&lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p dir="ltr"&gt;Resources:&lt;/p&gt; &lt;ul&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;David Kircos on LinkedIn → &lt;a href="https://goo.gle/4jcpQg6"&gt;https://goo.gle/4jcpQg6&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Building on the modern web app architecture → &lt;a href= "https://goo.gle/4hPpcnH"&gt;https://goo.gle/4hPpcnH&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Pyodide → &lt;a href= "https://goo.gle/445YEv9"&gt;https://goo.gle/445YEv9&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Pandas → &lt;a href= "https://goo.gle/4ldvkcp"&gt;https://goo.gle/4ldvkcp&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Numpy → &lt;a href= "https://goo.gle/3E1qSNb"&gt;https://goo.gle/3E1qSNb&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Esbuild-wasm → &lt;a href= "https://goo.gle/4hRqNJL"&gt;https://goo.gle/4hRqNJL&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Using JavaScript in a spreadsheet → &lt;a href= "https://goo.gle/3XIRk4W"&gt;https://goo.gle/3XIRk4W&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Making API requests from your spreadsheets → &lt;a href= "https://goo.gle/3FQQPja"&gt;https://goo.gle/3FQQPja&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Quadratic Python roadmap: building a spreadsheet developers love → &lt;a href= "https://goo.gle/446dLot"&gt;https://goo.gle/446dLot&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;ES module integration proposal → &lt;a href= "https://goo.gle/3C8wd3L"&gt;https://goo.gle/3C8wd3L&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;AI spreadsheets are here: Quadratic + GPT → &lt;a href= "https://goo.gle/4hZpFUB"&gt;https://goo.gle/4hZpFUB&lt;/a&gt;  &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Database connectors → &lt;a href= "https://goo.gle/3QXMs8g"&gt;https://goo.gle/3QXMs8g&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;SQLite Wasm → &lt;a href= "https://goo.gle/3FSn3dW"&gt;https://goo.gle/3FSn3dW&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;li dir="ltr" aria-level="1"&gt; &lt;p dir="ltr" role="presentation"&gt;Quadratic's GitHub organization → &lt;a href= "https://goo.gle/4jhWqNY"&gt;https://goo.gle/4jhWqNY&lt;/a&gt; &lt;/p&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt; &lt;/p&gt;</description>

WasmAssembly

Google

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

APR 28, 202545 MIN
WasmAssembly

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

APR 28, 202545 MIN

Description

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: