🚀 OptimizR v1.0.0 is LIVE! 🚀

I'm thrilled to announce the first stable release of OptimizR - a high-performance Rust library for optimization and statistical inference! 🎉

📦 What is OptimizR?

OptimizR brings blazing-fast implementations of advanced algorithms to data science:
• Differential Evolution (5 strategies with adaptive jDE)
• Hidden Markov Models (Baum-Welch, Viterbi)
• MCMC Sampling (Metropolis-Hastings)
• Mean Field Games (PDE solvers)
• Information Theory tools

⚡ The Performance Story:
• 50-100× faster than pure Python
• 95% memory reduction vs NumPy/SciPy
• Production-ready with comprehensive testing

🔥 Real-World Benchmarks:
• HMM Training: 0.03s (Rust) vs 2.4s (Python) = 80× speedup
• Differential Evolution: 0.12s (Rust) vs 8.9s (SciPy) = 74× speedup
• Mean Field Games: 0.4s (Rust) vs 45s (Python) = 112× speedup

📚 Learn More:
→ Complete documentation: https://optimiz-r.readthedocs.io
→ 6+ working tutorial notebooks
→ API reference with examples
→ Mathematical foundations

🛠️ Get Started:

Python:
```bash
pip install optimiz-rs
```

Rust:
```bash
cargo add optimiz-rs
```

🌟 Why OptimizR?

Built for researchers and practitioners who need:
✅ Production-grade performance
✅ Stable, well-documented API
✅ Easy Python integration
✅ Robust numerical methods
✅ Active development roadmap

🤝 Join the Community!

This project is driven by the belief that high-performance optimization tools should be accessible to everyone. Whether you're:
• A data scientist optimizing portfolios
• A researcher working on Bayesian inference
• An engineer building ML pipelines
• Or just curious about Rust + Python!

I'd love your feedback, contributions, and star on GitHub! ⭐

📖 Explore the docs, try the tutorials, and let me know what you build with it!

#Rust #Python #DataScience #MachineLearning #Optimization #OpenSource #MCMC #HiddenMarkovModels #NumericalMethods #HighPerformanceComputing

🔗 GitHub: https://github.com/ThotDjehuty/optimiz-r
📚 Docs: https://optimiz-r.readthedocs.io
📦 PyPI: https://pypi.org/project/optimiz-rs/
📦 crates.io: https://crates.io/crates/optimiz-rs