What are some examples of using AWS Lambda with Python?

What are some examples of using AWS Lambda with Python?

AWS Lambda allows you to run code without provisioning servers. Here are a few examples:

1. Image Processing: Automatically resize images uploaded to S3.
2. Data Transformation: Process and transform data in real-time from Kinesis streams.
3. Webhooks: Create a serverless API endpoint to handle webhooks.

Can you show me a code snippet for image processing?

Sure! Here's a simple example of a Lambda function that resizes an image:

import boto3
from PIL import Image
import io

def lambda_handler(event, context):
    s3 = boto3.client('s3')
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = event['Records'][0]['s3']['object']['key']

    response = s3.get_object(Bucket=bucket, Key=key)
    image = Image.open(response['Body'])
    image = image.resize((128, 128))

    buffer = io.BytesIO()
    image.save(buffer, 'JPEG')
    buffer.seek(0)

    s3.put_object(Bucket=bucket, Key='resized-' + key, Body=buffer)

What libraries do I need to use for this?

You'll need the following libraries:

1. boto3: For interacting with AWS services like S3.
2. Pillow: For image processing. You can include it in your deployment package.

How do I deploy this Lambda function?

You can deploy the Lambda function using the AWS Management Console or AWS CLI. For the console, create a new Lambda function, upload your code, and set the appropriate permissions for S3 access.