https://github.com/franckferman/monty-hall-problem-simulator
🚪 A Go-powered simulator for the Monty Hall problem, with statistical output. Simulate and analyze the famous Monty Hall paradox with realistic odds.
https://github.com/franckferman/monty-hall-problem-simulator
build-script go golang golang-cli golang-functional-programming golang-math math mathematics monty monty-go monty-golang monty-hall monty-hall-go monty-hall-golang monty-hall-problem monty-hall-problem-go monty-hall-problem-golang monty-problem paradox statistics
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🚪 A Go-powered simulator for the Monty Hall problem, with statistical output. Simulate and analyze the famous Monty Hall paradox with realistic odds.
- Host: GitHub
- URL: https://github.com/franckferman/monty-hall-problem-simulator
- Owner: franckferman
- License: agpl-3.0
- Created: 2023-06-24T16:41:24.000Z (about 2 years ago)
- Default Branch: stable
- Last Pushed: 2025-03-10T14:36:41.000Z (4 months ago)
- Last Synced: 2025-03-10T14:36:46.528Z (4 months ago)
- Topics: build-script, go, golang, golang-cli, golang-functional-programming, golang-math, math, mathematics, monty, monty-go, monty-golang, monty-hall, monty-hall-go, monty-hall-golang, monty-hall-problem, monty-hall-problem-go, monty-hall-problem-golang, monty-problem, paradox, statistics
- Language: Go
- Homepage: https://github.com/franckferman/Monty_Hall_Problem_Simulator
- Size: 1.95 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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🚪 Monty Hall Problem Simulator
Simulate, analyze, and visualize your chances in the famous Monty Hall paradox.
A Go-powered simulator for the Monty Hall problem with statistical analysis.
## 📜 Table of Contents
Click to collapse/expand
## 📖 About
**Monty-Hall-Problem-Simulator**: _A Go-based simulator to explore and visualize the famous Monty Hall paradox_.
This simulator was originally developed as part of a personal learning journey to better understand probabilities, paradoxes, and to demonstrate the Monty Hall problem through real simulations — beyond theoretical explanations.
Initially created as a personal experiment, it later became public because I believe others might benefit from having a concrete, hands-on way to see the paradox in action.
> ⚠️ Note: Although fully functional and optimized, this project remains a personal and educational experiment.
> It is not a commercial product, but rather a public code archive aimed at educational, academic, or experimental uses.
The project combines secure random generation, statistical analysis, and clean modular Go code, making it a reusable and extendable tool for anyone curious about probabilistic paradoxes, statistics, or Golang.
> Feel free to reuse, adapt, or improve it as you wish.
### ⚙️ Features
- ✅ Secure and realistic simulations using cryptographically secure randomness (no pseudo-random hacks).
- ✅ Detailed statistical output, including win rate percentages for both "switch" and "stay" strategies.
- ✅ Clean and modular architecture following Go idiomatic practices for easy customization and extensions.
- ✅ Cross-platform pre-built binaries (Linux, Windows, MacOS Intel & ARM64) — ready to use.
## 🤝 Contributing
We truly appreciate and welcome community involvement. Your contributions, feedback, and suggestions play a crucial role in improving the project for everyone. If you're interested in contributing or have ideas for enhancements, please feel free to open an issue or submit a pull request on our GitHub repository. Every contribution, no matter how big or small, is highly valued and greatly appreciated!
## 🌠 Star Evolution
Explore the star history of this project and see how it has evolved over time:
Your support is greatly appreciated. We're grateful for every star! Your backing fuels our passion. ✨
## 📚 License
This project is licensed under the GNU Affero General Public License, Version 3.0. For more details, please refer to the LICENSE file in the repository: [Read the license on GitHub](https://github.com/franckferman/Monty-Hall-Problem-Simulator/blob/stable/LICENSE)
## 📞 Contact
[![ProtonMail][protonmail-shield]](mailto:[email protected])
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