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Python Code Samples

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27 matches
Big data & Spark medium

How to Mock a UDAF Aggregate Function in Python

This code provides a minimal mock of a User-Defined Aggregate Function (UDAF), simulating the initialize-update-merge-finalize lifecycle with a defaultdict counter.

udaf aggregate mock
Python
from collections import defaultdict

class MockUDAF:
    """A minimal mock of a User-Defined Aggregate Function.

    Simulates aggregate lifecycle: initialize, update per row,
    and finalize the result.
    """

    def __init__(self):
        self._buffer = defaultdict(int)

    def initialize(self):
        """Re…
13 0 Open
Big data & Spark easy

How to Pivot and Group Aggregate in Python

Group records by a key, collect values, and apply an aggregate function (like sum) to build a pivot-style summary dictionary.

pivot group-by aggregation
Python
from collections import defaultdict

def pivot_group_aggregate(records, group_key, value_key, agg_func):
    groups = defaultdict(list)
    for record in records:
        groups[record[group_key]].append(record[value_key])
    return {key: agg_func(values) for key, values in groups.items()}

if __name__ == "__main__":…
13 0 Open
ML engineering pipelines easy

How to Build a Mock Offline Feature Store in Python

Build an in-memory mock of an offline feature store with a dict-based FeatureStore class for storing and retrieving ML features by entity ID.

feature-store ml-pipeline mock
Python
from datetime import datetime
from collections import defaultdict


class FeatureStore:
    """Simple in-memory mock of an offline feature store."""

    def __init__(self):
        self._features = defaultdict(dict)

    def ingest(self, entity_id, feature_name, value, timestamp=None):
        ts = timestamp or datet…
14 0 Open

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