Reference library

A/B testing & experimentation

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

1 match
A/B testing & experimentation medium

How to Create an Interrupted Time Series Mock in Python

Generate simulated interrupted time series data with a pre/post-intervention trend, level shift, and noise to test segmented regression models.

interrupted-time-series simulation numpy
Python 
import numpy as np

# Mock interrupted time series data
np.random.seed(42)
n_pre = 50
n_post = 50
time = np.arange(0, n_pre + n_post)

# Pre-intervention: linear trend + noise
pre_trend = 0.05 * time[:n_pre] + np.random.normal(0, 0.5, n_pre)

# Post-intervention: new slope + level shift + noise
post_trend = 0.05 * tim…
15 0 Open

Browse by section

Each section groups closely related Python snippets.

A/B testing & experimentation — Python code examples

What you will find here

This page collects a/b testing & experimentation snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

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.

Related coding tools

Free online Python IDE Write and run Python in your browser — no install. Free Python code formatter Format with autopep8 — side-by-side PEP 8 cleanup. Python code samples Copy-ready snippets to study and run in the IDE.