pandas in aws lambda function

Sure, I can provide you with a basic tutorial on using Pandas in an AWS Lambda function. AWS Lambda is a serverless computing service that allows you to run your code without provisioning or managing servers. Pandas is a powerful data manipulation library for Python.
In this tutorial, we'll create a simple Lambda function that uses Pandas to process a CSV file stored in an S3 bucket.
Make sure you have the AWS CLI installed and configured with the necessary permissions. Also, have the AWS Lambda and S3 Python SDKs installed:
This function downloads a CSV file from an S3 bucket, processes it using Pandas (you can replace the processing logic with your own), and uploads the result back to S3.
Create an IAM role with the necessary permissions for Lambda to access S3. Attach the policy AmazonS3FullAccess to the role.
Use the AWS CLI to package and deploy your Lambda function:
Set up an S3 event trigger for your Lambda function. Go to the S3 bucket, navigate to "Properties" - "Events" - "Add notification" and configure it to trigger the Lambda function when a new CSV file is uploaded.
That's it! Your Lambda function is now set up to use Pandas to process CSV files from an S3 bucket. Customize the code to suit your specific data processing needs.
ChatGPT