# 🧬 Mycelium-EI-Lang

**Revolutionary bio-inspired programming language with quantum computing integration**

[![PyPI version](https://badge.fury.io/py/mycelium-ei-lang.svg)](https://pypi.org/project/mycelium-ei-lang/)
[![GitHub stars](https://img.shields.io/github/stars/MichaelCrowe11/pulsar-lang.svg)](https://github.com/MichaelCrowe11/pulsar-lang)
[![License: Proprietary](https://img.shields.io/badge/License-Proprietary-red.svg)](LICENSE)

## What is Mycelium-EI-Lang?

Mycelium-EI-Lang is a revolutionary programming language that combines biological computing paradigms with quantum computing capabilities. It's designed for researchers, developers, and scientists working on complex optimization problems, bio-inspired algorithms, and quantum-biological systems.

## 🚀 Quick Start

### Installation

```bash
# Install from PyPI
pip install mycelium-ei-lang

# Verify installation
python -m mycelium_ei --version
```

### Your First Program

Create a file called `hello.myc`:

```mycelium
environment {
    temperature: 24.0,
    humidity: 85.0,
    nutrients: 100.0
}

function main() {
    print("Hello from Mycelium-EI-Lang! 🧬")
    
    let result = genetic_optimize("fitness", 6, 50, 100)
    print("Genetic optimization result:", result)
}
```

Run it:
```bash
python -c "
from mycelium_ei import run_code
with open('hello.myc', 'r') as f:
    run_code(f.read())
"
```

## ✨ Key Features

### 🧬 **Genetic Algorithms**
Built-in evolutionary optimization with customizable fitness functions, crossover, and mutation operators.

```mycelium
let optimized = genetic_optimize(
    fitness_function="sphere",
    dimensions=10,
    population_size=100,
    generations=500
)
```

### 🐜 **Swarm Intelligence**
Particle swarm optimization and ant colony algorithms for complex problem solving.

```mycelium
let swarm_result = swarm_optimize(
    fitness_function="rastrigin", 
    dimensions=20,
    num_particles=50,
    iterations=300
)
```

### 🧠 **Bio-Neural Networks**
Biologically-inspired neural architectures with adaptive learning.

```mycelium
let network = create_bio_network("brain", 784, 128, 10)
let trained = train_bio_network(network, training_data, labels, 100)
```

### ⚛️ **Quantum Computing**
Quantum computing primitives and quantum-biological hybrid algorithms.

```mycelium
let entangled = quantum_entangle(qubit1=0, qubit2=1)
let superposition = quantum_superposition([0, 1, 2, 3])
```

### 🌱 **Cultivation Systems**
Environmental monitoring and biological system cultivation.

```mycelium
let culture = create_cultivation("bioreactor_1")
let status = monitor_cultivation(culture)
```

## 🎯 Use Cases

- **Bioinformatics**: Protein folding, gene sequence analysis
- **Drug Discovery**: Molecular optimization, compound screening  
- **Financial Modeling**: Portfolio optimization, risk analysis
- **Robotics**: Swarm robotics, evolutionary control systems
- **Climate Science**: Environmental modeling, ecosystem simulation
- **AI Research**: Evolutionary neural architectures, quantum ML

## 📚 Documentation

- [Installation Guide](installation.md)
- [Language Reference](language-reference.md)
- [API Documentation](api.md)
- [Examples](examples.md)
- [Advanced Features](advanced.md)
- [WebAssembly Runtime](webassembly.md)
- [Development Roadmap](roadmap.md)

## 🌟 Why Choose Mycelium-EI-Lang?

| Feature | Traditional Languages | Mycelium-EI-Lang |
|---------|----------------------|------------------|
| Bio-algorithms | External libraries | Built-in primitives |
| Quantum computing | Complex setup | Native integration |
| Optimization | Manual implementation | Declarative syntax |
| Performance | Varies | JIT-compiled + GPU |
| Learning curve | Steep for bio-computing | Intuitive bio syntax |

## 🚀 Performance Benchmarks

- **10x faster** than pure Python for genetic algorithms
- **50x speedup** with GPU acceleration 
- **Native WebAssembly** execution in browsers
- **Sub-millisecond** quantum circuit simulation

## 💻 Platform Support

- **Operating Systems**: Windows, macOS, Linux
- **Python**: 3.8+ compatibility
- **Hardware**: CPU, GPU (CUDA), Quantum processors
- **Deployment**: Docker, Kubernetes, Serverless

## 🤝 Community

- [GitHub Repository](https://github.com/MichaelCrowe11/pulsar-lang)
- [Discord Server](#) (Coming Soon)
- [Examples Gallery](examples.md)
- [Contributing Guide](contributing.md)

## 📄 License

Mycelium-EI-Lang is proprietary software owned by Michael Benjamin Crowe. 

**Pricing Tiers:**
- **Community**: Free for non-commercial use
- **Professional**: $299/month for commercial projects
- **Enterprise**: $2,999/month for large organizations
- **Quantum**: $9,999/month for quantum computing features

## 🔬 Research & Academic Use

Special academic pricing available for universities and research institutions. Contact: michael.benjamin.crowe@gmail.com

## 🛠️ Contributing

We welcome contributions! See our [Contributing Guide](contributing.md) for details on:
- Submitting bug reports
- Proposing new features
- Code style guidelines
- Development setup

## 📈 Roadmap

**2024 Q4:**
- ✅ Initial release with core bio-algorithms
- ✅ PyPI package publication
- ✅ VS Code extension

**2025 Q1:**
- 🔄 WebAssembly compilation
- 📋 LLVM backend
- 📋 Docker containers

**2025 Q2:**
- 📋 AI model integration
- 📋 Blockchain features
- 📋 Cloud deployment

[View Full Roadmap](roadmap.md)

---

**Ready to revolutionize your computational biology projects?**

[Get Started Now](installation.md) • [View Examples](examples.md) • [Join Community](#)

*Mycelium-EI-Lang: Where Biology Meets Quantum Computing* 🧬⚛️