This video demonstrates how to deploy a Python Lambda function with external dependencies (like `requests` or `pandas`). Because Lambda doesn't directly support installing these, the solution involves creating a zip file containing the code and dependencies, using AWS CloudShell and the AWS CLI to upload it to an S3 bucket, and then deploying the zip file from S3 to the Lambda function. The video provides a step-by-step guide and GitHub repository link. file. Um, I'd rather use the AWS console, which is a beautiful tool for all your, um, you know, things like this. So what I'll do is I'll just, uh, you know, open the console again in a new tab just to make sure that I, um, it is visible to you clearly. So what I need to do is I'll just click on cloud shell and a shell will appear to you here. You can execute all the required, uh, details or the required commands here. Okay, so I was just doing some practice. So you can see the required commands here. So what I'll do is I'll just clear the screen for you. Okay. and now what we need to do is first let's create a directory, fresh new directory, so that we are all in the same phase. Okay, so what I'll do is I'll just create a directory called lambda deployment. So let me copy this code Let me go to my console paste this one hit enter Next let's go into this folder. So that is lambda deployment. So now I'm inside this lambda deployment. What I need to do is whatever the code that I have in my github repository I need to you know have the same code here as well. So what I'll do is I'll just create the same code uh it should be named as lambda uncore function. py or