Do you have experience in creating or maintaining applications that process data in real-time or use stream processing?

Yes, experience with applications that process data in real-time or use stream processing is often associated with the use of tools such as:

• asyncio and queue modules for organizing asynchronous processing and data queues.
• Libraries for working with threads and processes (threading, multiprocessing).
• Frameworks and services like Apache Kafka, RabbitMQ, for organizing message streaming.

An example of simple stream processing using asyncio:

import asyncio

async def producer(queue):
    for i in range(5):
        await asyncio.sleep(1)  # simulate data reception
        await queue.put(i)
        print(f'Produced {i}')

async def consumer(queue):
    while True:
        item = await queue.get()
        print(f'Consumed {item}')
        queue.task_done()

async def main():
    queue = asyncio.Queue()
    await asyncio.gather(producer(queue), consumer(queue))

asyncio.run(main())

This approach allows processing data as it arrives without blocking the main thread.