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Streaming & messaging

Kafka-style pub/sub, event consumers, async pipelines, and message-driven workflows.

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How to Aggregate Periodic Snapshot Data in Python

Generates mock snapshot data and groups values into periods to compute average aggregates with Python's standard library.

aggregation snapshots streaming
Python 
import random
from collections import defaultdict

def snapshot_aggregate(n=10, period=3):
    data = defaultdict(list)
    for i in range(n):
        key = f"item_{i % period}"
        data[key].append(random.randint(1, 100))
    return dict(data)

def aggregate_periodic(snapshots, period=3):
    result = {}
    for …
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