In Python data analysis, how do I consume message queues?

In Python data analysis, consuming message queues is essential for processing asynchronous data streams efficiently. Message queues, such as RabbitMQ or Kafka, allow different parts of your application to communicate asynchronously. Utilizing libraries such as `pika` for RabbitMQ or `kafka-python` for Kafka enables you to read and process messages in a reliable way.

Here's a basic example of how to consume messages from a RabbitMQ queue using Python:

import pika # Establish connection to RabbitMQ server connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) channel = connection.channel() # Declare a queue channel.queue_declare(queue='hello') # Callback function to process messages def callback(ch, method, properties, body): print(f"Received {body}") # Start consuming messages channel.basic_consume(queue='hello', on_message_callback=callback, auto_ack=True) print('Waiting for messages. To exit press CTRL+C') channel.start_consuming()

Python Data Analysis Message Queues RabbitMQ Kafka Asynchronous Processing pika kafka-python

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