<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/e57fdd7008814734bfb8bb763d431b97&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e57fdd7008814734bfb8bb763d431b97-b395e53d0f0bced8.gif</thumbnail_url><duration>157.611</duration><title>Introduction to Ratify 🐍</title><description>Hi, I&apos;m Ianu Daesi, co-author of Blended Social Engineering Learner in ELX. In this presentation, I introduce Ratify, a Python library for request validation. Ratify allows you to validate data against specified rules. I demonstrate how to install and use Ratify, emphasizing the importance of rules in data validation. No specific action requested.</description></oembed>