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 Mock a Remote Config Fetch in Python
Simulate a remote config API response with metadata, timestamps, and mock data for testing or local development.
import json
from datetime import datetime
from typing import Any, Dict
def fetch_remote_config(mock_data: Dict[str, Any]) -> Dict[str, Any]:
"""Simulate fetching a remote config with metadata and timestamps."""
return {
"status": "success",
"source": "mock",
"fetched_at": datetime.utcn…Browse by section
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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.