AWS提供了一些与事件相关的服务，例如CloudWatch事件、S3事件、Kinesis数据流、SNS通知等，可以用于创建定时和基于事件的复杂事件模式。以下是示例代码：

1. 使用CloudWatch规则和Lambda函数来处理计划事件：

import boto3

client = boto3.client('events')

response = client.put_rule(
    Name='my-event-rule',
    ScheduleExpression='cron(0 0 * * ? *)', # a cron expression that triggers the rule every day at midnight
    State='ENABLED'
)

# define a Lambda function that receives the event data and performs some action
def lambda_handler(event, context):
    print('Received scheduled AWS event:', event)
    # do something
    

2. 使用S3事件和Lambda函数来处理文件上传事件：

import boto3

client = boto3.client('s3')

response = client.put_bucket_notification_configuration(
    Bucket='my-bucket',
    NotificationConfiguration={
        'LambdaFunctionConfigurations': [
            {
                'LambdaFunctionArn': 'arn:aws:lambda:::function:',
                'Events': ['s3:ObjectCreated:*']
            }
        ]
    }
)

# define a Lambda function that receives the S3 event data and performs some action
def lambda_handler(event, context):
    print('Received S3 event:', event)
    # do something with the uploaded file
    

以上示例代码分别展示了如何使用AWS CloudWatch规则和Lambda函数来创建计划事件模式，以及如何使用AWS S3事件和Lambda函数来创建基于事件的复杂事件模式。