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aws lambda with python and dynamodb: a step-by-step tutorial

aws lambda is a serverless compute service that lets you run code without provisioning or managing servers. this tutorial will guide you through creating a lambda function in python that interacts with an amazon dynamodb database.

#### prerequisites

an aws account.
basic knowledge of python.
aws cli installed and configured with appropriate permissions to create lambda functions and dynamodb tables.

step 1: set up dynamodb

1. **log in to your aws management console**.
2. **navigate to dynamodb**.
3. **create a new table**:
click on "create table".
set `table name` to `users`.
set `primary key` to `user_id` (type: string).
leave other settings as default.
click "create".

step 2: create a lambda function

1. *navigate to aws lambda* in your aws management console.
2. click on **create function**.
select "author from scratch".
function name: `userfunction`.
runtime: `python 3.x` (replace `3.x` with the latest version).
permissions: create a new role with basic lambda permissions.
3. click on **create function**.

step 3: add permissions for dynamodb

1. in your lambda function, go to the *permissions* tab.
2. click on the role name under "execution role".
3. in the iam console, click on **attach policies**.
4. search for and attach the `amazondynamodbfullaccess` policy (for simplicity; in production, you should use more restricted permissions).

step 4: write lambda function code

1. in the lambda function code editor, replace the default code with the following python code:



step 5: set up api gateway

1. **navigate to amazon api gateway**.
2. click on **create api**.
select "http api".
choose "build".
3. configure routes:
click on *add integration* and select your lambda function.
click on **add routes**.
add `get /users/{user_id}` and `post /users`.
4. click on **next**, review, and then click ...

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