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Python Code Samples

Medium snippets you can copy, study, and run in the browser editor.

3 matches
Data pipelines & processing medium

Map Partition Over Chunks in Python with Multiprocessing and Mock

Process data in chunks across multiple CPU cores using multiprocessing Pool.map, and mock the chunk function to test partitioning behavior without heavy computation.

multiprocessing chunking parallel
Python
from multiprocessing import Pool
from unittest.mock import patch, Mock

def process_chunk(chunk):
    return [x * x for x in chunk]

def map_partition_over_chunks(data, chunk_size, process_func=process_chunk):
    chunks = [data[i:i + chunk_size] for i in range(0, len(data), chunk_size)]
    with Pool() as pool:
     …
12 0 Open
Big data & Spark medium

How to Implement row_number Window Function in Python

This code implements a SQL-style ROW_NUMBER() window function in pure Python, partitioning rows by a set of columns and ranking them within each partition by an ordered set of columns.

window-functions data-processing row-number
Python
from collections import defaultdict
import itertools


def row_number(rows, partition_by, order_by):
    partitions = defaultdict(list)
    for index, row in enumerate(rows):
        key = tuple(row[col] for col in partition_by)
        partitions[key].append((index, row))

    result = []
    for key in partitions:
 …
17 0 Open
Database scaling & optimization medium

How to Build a Shard Map Mock Dict in Python

Implement a dictionary-like class that distributes keys across multiple shards using Python's hash() for realistic data partitioning.

dict sharding hash
Python
class ShardMap:
    def __init__(self, shard_count):
        self.shards = {i: {} for i in range(shard_count)}
        self.shard_count = shard_count

    def _shard_for(self, key):
        return hash(key) % self.shard_count

    def __getitem__(self, key):
        return self.shards[self._shard_for(key)][key]

    d…
14 0 Open

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