video1.0<iframe src="https://www.loom.com/embed/a2006ac27b0545189cb5b9b2e011bc72" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/a2006ac27b0545189cb5b9b2e011bc72-00001.gif179.8333333333333Summary 👉 Notebook: https://colab.research.google.com/drive/1ZnO-njhL7TBOYPZaqvMvGtsjckZKrv2E?authuser=1 In this video, I demonstrate how to work with multiple data frames using Pandacea. I introduce the concept of a smart data lake, which allows us to perform tasks involving more than one data frame at a time. I provide an example using an employee's data frame and a seller's data frame to determine who gets paid the most. Additionally, I show how to merge two different data frames, even when they don't have a common field. Finally, I showcase how a smart data lake can help us analyze data, such as determining the number of photos uploaded by a specific user.