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A/B Testing Statistical Framework

$39

Complete A/B testing toolkit: sample size calculator, statistical significance tests, Bayesian analysis, and results reporting templates.

📁 10 files🏷 v1.0.0
PythonYAMLTOMLJSONMarkdown

📁 File Structure 10 files

ab-testing-framework/ ├── LICENSE ├── README.md ├── config.example.yaml ├── docs/ │ ├── checklists/ │ │ └── pre-deployment.md │ ├── overview.md │ └── patterns/ │ └── pattern-01-standard.md ├── pyproject.toml ├── templates/ │ └── config.yaml └── tests/ ├── conftest.py └── test_core.py

📖 Documentation Preview README excerpt

A/B Testing Statistical Framework

Complete A/B testing toolkit: sample size calculator, statistical significance tests, Bayesian analysis, and results reporting templates.

Contents

  • config.example.yaml
  • docs/checklists/pre-deployment.md
  • docs/overview.md
  • docs/patterns/pattern-01-standard.md
  • pyproject.toml
  • templates/config.yaml
  • tests/conftest.py
  • tests/test_core.py

Quick Start

1. Extract the ZIP archive

2. Review the README and documentation

3. Customize configuration files for your environment

4. Follow the setup guide for your specific use case

Requirements

  • Python 3.10+ (for Python scripts)
  • Relevant CLI tools for your platform
  • Access to your target environment

License

MIT License — see LICENSE file.

Support

Questions or issues? Email megafolder122122@hotmail.com

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Part of [Data Analyst](https://inity13.github.io/data-analyst-pro/)

📄 Code Sample .py preview

tests/conftest.py """Shared test fixtures and configuration.""" import pytest import json import tempfile from pathlib import Path @pytest.fixture def tmp_dir(): """Provide a temporary directory for test files.""" with tempfile.TemporaryDirectory() as d: yield Path(d) @pytest.fixture def sample_config(tmp_dir): """Create a sample configuration file.""" config = { "name": "test", "version": "1.0.0", "debug": True, "settings": {"key": "value"} } path = tmp_dir / "config.json" path.write_text(json.dumps(config)) return path @pytest.fixture def sample_data(): """Provide sample test data.""" return [ {"id": 1, "name": "Alice", "role": "engineer"}, {"id": 2, "name": "Bob", "role": "manager"}, {"id": 3, "name": "Carol", "role": "designer"}, ]
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