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Python Code Samples

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

3 matches
Caching & Redis medium

How to Build a Bloom Filter to Reduce Cache Misses in Python

Implement a probabilistic Bloom filter in Python that lets a cache quickly determine which keys are definitely not present, reducing expensive source lookups on cache misses.

bloom-filter caching probabilistic
Python
import hashlib
import random

class BloomFilter:
    def __init__(self, size=100, num_hashes=3):
        self.size = size
        self.num_hashes = num_hashes
        self.bit_array = [0] * size

    def _hashes(self, item):
        result = []
        for i in range(self.num_hashes):
            hash_value = int(hash…
14 0 Open
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
A/B testing & experimentation medium

How to Perform Intent-to-Treat Analysis in Python

Runs an intent-to-treat analysis on mock A/B test data, comparing outcomes by initial group assignment with a t-test for significance.

ab-testing intent-to-treat statistics
Python
import pandas as pd
import numpy as np


def intent_to_treat_analysis(data):
    """Perform intent-to-treat (ITT) analysis.

    ITT compares outcomes based on initial treatment assignment,
    regardless of whether participants actually received the treatment.
    """
    # Create a copy to avoid mutating the origina…
13 0 Open

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Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.