<?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/db24dea5a9e0428b87ad86ff596d5f7c&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/db24dea5a9e0428b87ad86ff596d5f7c-1695645941316.gif</thumbnail_url><duration>155.14907015499998</duration><title>Using Connectors with PandasAI</title><description>👉 Notebook: https://colab.research.google.com/drive/1ZnO-njhL7TBOYPZaqvMvGtsjckZKrv2E?authuser=1

In this video, I will demonstrate how to use connectors on PandasAI to connect to various data sources. Previously, we could only connect to CSV or Excel files, but now we can also connect to SQL databases, Databricks, Snowflake, and other third-party APIs. I will show you how to install the Panacea connectors package and use connectors as ordinary data frames. Additionally, I will explain how to instantiate smart data lakes or smart data frames with connectors and how to retrieve data and generate charts. Watch this video to learn how to effortlessly connect to different data sources using connectors on Panacea.</description></oembed>