{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d452c3031f5342d2a6b5108f0bd40acc\" frameborder=\"0\" width=\"1916\" height=\"1437\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1437,"width":1916,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1437,"thumbnail_width":1916,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d452c3031f5342d2a6b5108f0bd40acc-91888998dd57dc9a.gif","duration":612.1274,"title":"Data Processing Efficiency with Polars 🚀","description":"Hello data voyagers! In this tutorial, I showcase the power of Polars in efficient data processing using the Titanic dataset. We explore schema, projection, filtering, and lazy execution, highlighting Polars' vectorized model for quick processing. No action requested."}