<?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/961c8c2a00d347a08aab688e5bcba349&quot; frameborder=&quot;0&quot; width=&quot;3776&quot; height=&quot;2832&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2832</height><width>3776</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2832</thumbnail_height><thumbnail_width>3776</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/961c8c2a00d347a08aab688e5bcba349-144ba5d3dd36fbe6.gif</thumbnail_url><duration>181.716667</duration><title>Enhancing Coding Efficiency with Python and SQL Type Information</title><description>In this video, I demonstrate the capabilities of our deep note extension, which enhances Python and SQL coding by providing type information and diagnostics. I walk you through how to utilize features like method completion in pandas and error detection in larger notebooks. Additionally, I show how to effectively query our database with SQL, including selecting from tables and accessing column names. I encourage you to explore these features in your own projects to improve your coding efficiency. Please take a moment to try out the suggestions I’ve highlighted.</description></oembed>