Скачать или смотреть aws lambda resize image s3 python

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Sure, I'd be happy to help you with that! Below is an informative tutorial on how to use AWS Lambda to resize an image stored in Amazon S3 using Python. We'll be using the Boto3 library to interact with AWS services.
AWS account: Make sure you have an AWS account and necessary permissions to create and manage Lambda functions and S3 buckets.
AWS CLI: Install and configure AWS CLI on your local machine.
Python and Boto3: Make sure you have Python installed (version 3.6 or later) and install the Boto3 library:
Login to your AWS Management Console and create an S3 bucket to store the original and resized images.
Create an IAM role with the necessary permissions for Lambda to access S3. Attach the AWSLambdaBasicExecutionRole and AmazonS3FullAccess policies to this role.
Create a new Python script with the following code. This example uses the Pillow library for image processing. You can install it with pip install Pillow.
Create a deployment package by creating a ZIP file containing your Python script and dependencies (including the Pillow library). Upload this ZIP file to AWS Lambda.
Add a trigger to your Lambda function using the S3 bucket you created in step 1. Configure the trigger to activate on object creation events.
Upload an image to the S3 bucket and verify that the resized image is created in the specified resized folder.
Congratulations! You've successfully set up an AWS Lambda function to resize images stored in an S3 bucket using Python. Adjust the code and configurations as needed for your specific use case.
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