A/B testing & experimentation
User bucketing, experiment metrics, statistical comparison, and rollout guardrails.
How to Evaluate Feature Flags in Python
A Python function that evaluates boolean feature flags with user-specific overrides, returning whether a flag is enabled and the reason for the decision.
import json
def evaluate_feature_flag(feature_name, context, flag_configs):
"""
Evaluates a boolean feature flag given a context dictionary.
Args:
feature_name: The name of the feature flag.
context: A dictionary of user/request context (e.g., {"user_id": "123"}).
flag_configs: A …How to Generate Multivariate JSON Mock Data in Python
This script generates mock multivariate JSON-compatible data with measurements and boolean flags for testing and experimentation pipelines.
import json
def multivariate_mock(row_count: int = 3) -> list:
"""Generate mock multivariate data as list of JSON-compatible dicts."""
records = []
for i in range(row_count):
record = {
"id": i + 1,
"measurements": {
"temperature": 20.5 + i * 1.5,
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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.