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A/B testing & experimentation

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

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A/B testing & experimentation medium

How to simulate a contextual bandit in Python

Simulate a contextual multi-armed bandit with random features and epsilon-greedy action selection in Python.

bandit-algorithms simulation epsilon-greedy
Python 
import random


class ContextualBandit:
    def __init__(self, n_actions=3, n_features=4):
        self.n_actions = n_actions
        self.n_features = n_features
        self.theta = [random.random() for _ in range(n_actions * n_features)]

    def mock_context(self):
        return [random.uniform(-1, 1) for _ in ra…
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A/B testing & experimentation — Python code examples

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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.

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