# Connecting to Amazon Neptune databases using IAM authentication with Gremlin Python
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## Overview
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 This guide demonstrates how to connect to an Amazon Neptune database with IAM authentication enabled using the Gremlin Python driver, with Signature Version 4 authentication and the AWS SDK for Python (Boto3). 

## Create a basic connection
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 Use the following code example as guidance on how to establish basic connection with IAM authentication using the Gremlin Python driver. 

```
from boto3 import Session
from botocore.auth import SigV4Auth
from botocore.awsrequest import AWSRequest

from gremlin_python.process.anonymous_traversal import traversal
from gremlin_python.driver.driver_remote_connection import DriverRemoteConnection

def main():
    endpoint = 'your.cluster.endpoint.neptune.amazonaws.com'
    conn_string = 'wss://' + endpoint + ':8182/gremlin'
    default_region = 'us-east-1'
    service = 'neptune-db'

    credentials = Session().get_credentials()
    if credentials is None:
        raise Exception("No AWS credentials found")
    creds = credentials.get_frozen_credentials()
    # region set inside config profile or via AWS_DEFAULT_REGION environment variable will be loaded
    region = Session().region_name if Session().region_name else default_region

    request = AWSRequest(method='GET', url=conn_string, data=None)
    SigV4Auth(creds, service, region).add_auth(request)

    rc = DriverRemoteConnection(conn_string, 'g', headers=request.headers.items())
    g = traversal().with_remote(rc)

    # simple query to verify connection
    count = g.V().count().next()
    print('Vertex count: ' + str(count))

    # cleanup
    rc.close()

if __name__ == "__main__":
    main()
```