Reference library

A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

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A/B testing & experimentation medium

Bootstrap Confidence Interval in Python

Estimates a confidence interval for a statistic (like the mean) using bootstrap resampling in pure Python.

bootstrap confidence-interval statistics
Python 
import random


def bootstrap_ci(data, statistic, n_bootstraps=1000, ci_level=0.95, seed=42):
    random.seed(seed)
    n = len(data)
    boot_stats = []

    for _ in range(n_bootstraps):
        sample = [random.choice(data) for _ in range(n)]
        boot_stats.append(statistic(sample))

    boot_stats.sort()
    l…
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A/B testing & experimentation — Python code examples

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