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Big data & Spark

PySpark jobs, partitioning, batch processing, and large-dataset transform patterns.

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How to implement a tumbling window aggregation in Python

Build a mock tumbling window aggregator in Python that groups streaming events into fixed time intervals and computes count, sum, and average per window.

tumbling-window streaming aggregation
Python 
import time
from collections import deque

class TumblingWindow:
    def __init__(self, duration_seconds):
        self.duration = duration_seconds
        self.buffer = deque()
        self.window_start = None

    def add(self, item):
        current_time = time.time()
        if self.window_start is None:
         …
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