Скачать или смотреть aws lambda dynamodb crud python

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Sure, I'd be happy to help you with a tutorial on AWS Lambda, DynamoDB CRUD operations using Python. This tutorial will guide you through the process of creating a simple serverless application with AWS Lambda and DynamoDB to perform CRUD (Create, Read, Update, Delete) operations. We'll use the Python programming language for Lambda functions.
AWS Account: Make sure you have an AWS account. If not, you can create one at AWS Free Tier.
AWS CLI: Install and configure the AWS CLI. You can find instructions here.
Python: Make sure you have Python installed on your local machine.
Go to the AWS Management Console and navigate to DynamoDB.
Click on "Create Table". Provide a table name (e.g., "MyTable") and a primary key (e.g., "ID").
Once the table is created, note down the table name and primary key name, as we will need them later.
Go to the AWS Management Console and navigate to Lambda.
Click on "Create Function". Choose "Author from Scratch" and provide a function name (e.g., "CRUDFunction").
For "Runtime", select Python. Set up the execution role with the required permissions to access DynamoDB.
Click on "Create Function".
Replace the default Lambda function code with the following Python code:
In the Lambda function editor, click on "Deploy" in the upper-right corner.
Once deployed, note the API Gateway URL from the "API Gateway" section.
You can test your Lambda function using tools like curl, Postman, or the AWS Lambda Console.
Example requests:
Congratulations! You've now created a simple serverless CRUD application using AWS Lambda and DynamoDB with Python. Feel free to customize the code and add more features based on your requirements.
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