turing-py 2.3.1

Education Turing Machine simulator in Python

[🇧🇷] Lê em português

Turing-py

A simple and extensible Turing Machine simulator written in Python, designed for learning, experimentation, and educational purposes.

Install directly from the Python Package Index (PyPI):

pip install turing-py

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📚 About

A Turing Machine is an abstract computational model introduced by Alan Turing in 1936. It is widely used in computer science to study the limits of computation and algorithm design.

turing-py provides a Python implementation that enables:

• Simulation of Turing Machines
• Creation of custom transition rules
• Step-by-step computation
• Experimentation with theoretical algorithms

This project is intended for:

• Computer Science students
• Theory of Computation courses
• Developers interested in computational models
• Educational demonstrations

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📦 Installation

Install using pip:

pip install turing-py

Or install from source:

git clone https://github.com/ericshantos/turing-py.git
cd turing-py
pip install .

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✨ Features

• Deterministic Turing Machine simulation
• Customizable tape input
• Configurable states and transitions
• Step-by-step execution
• Simple and modular Python architecture
• Easy to extend and modify
• CLI-ready structure

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📂 Project Structure

turing-py/
│
├── pyproject.toml
├── README.md
├── LICENSE
├── .gitignore
│
├── src/
    └── tmpy/
        ├── __init__.py
        │
        ├── machine/
        │   ├── __init__.py
        │   ├── turing_machine.py
        │   ├── tape.py
        │   └── states.py
        │
        ├── alphabet/
        │   ├── __init__.py
        │   ├── symbol.py
        │   ├── alphabet.py
        │   └── tape_alphabet.py
        │
        └─ transition/
            ├── __init__.py
            ├── transition.py
            ├── transition_function.py
            └── direction.py

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🧪 Example Turing Machines

Examples you can implement using turing-py:

• Binary increment machine
• Palindrome checker
• Unary addition
• Even/Odd binary checker
• String copying machine

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🧩 How It Works

A Turing Machine consists of:

• Tape – infinite memory divided into cells
• Head – reads and writes symbols on the tape
• States – machine configuration states
• Transition Function – rules that determine the next action

Each step follows this rule:

(Current State, Read Symbol) → (Next State, Write Symbol, Move Direction)

Where direction can be:

• L → Move left
• R → Move right

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🤝 Contributing

Contributions are welcome!

To contribute:

1. Fork the repository
2. Create a new branch

git checkout -b feature/my-feature

3. Make your changes
4. Commit your work

git commit -m "Add new feature"

5. Push to your fork

git push origin feature/my-feature

6. Open a Pull Request

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📜 License

This project is licensed under the MIT License.

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👨‍💻 Author

Developed by Eric Santos.