{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/0468aef48b1843f381146399f1652b81\" frameborder=\"0\" width=\"1110\" height=\"832\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":832,"width":1110,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":832,"thumbnail_width":1110,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/0468aef48b1843f381146399f1652b81-1701731896037.gif","duration":267.6720228909999,"title":"Understanding Data Pipelines with Panda Patrol","description":"Hi, I'm Ivan and in this video, I'll introduce you to Panda Patrol, an open-source Python package that helps you manage and ensure the quality of data in your data pipelines. With Panda Patrol, you can easily test and profile your data pipelines using just one line of code. I'll guide you through the installation process and show you how to use the package to perform general checks on your data. Watch this video to learn how Panda Patrol can help you better understand and optimize your data pipelines."}