Agentic Engineering
Unlock the power of Cyclical AI and move beyond linear chains with LangGraph.js. This deep-dive guide teaches TypeScript developers to build autonomous agents that can reason, loop, self-correct, and collaborate. Master the architecture of stateful, multi-agent systems, from advanced state management to production deployment. Stop building scripts and start engineering the intelligent, resilient systems of the future.
- Astrophysics & AI with Python ProgrammingBuilding Research Agents for Astronomy, Cosmology, and SETIEdgar Milvus
The universe is no longer just observed; it is computed through the lens of Python and Artificial Intelligence. Master NASA-grade orbital simulations, classify galaxy morphologies with CNNs, and deploy Vision Transformers. Create autonomous LLM agents that mine ArXiv for breakthroughs and GANs that generate realistic nebulae. Join the new breed of scientist-programmers and build the future of computational astronomy today.
- Geospatial AI (GeoAI) with Python ProgrammingBuilding Autonomous GIS Agents, Deep Learning Models, and Interactive DashboardsEdgar Milvus
Transform static maps into intelligent systems with Geospatial AI (GeoAI) with Python Programming. Bridge the gap between GIS and AI, from satellite image analysis to autonomous LangChain agents. Master production-ready code for GNNs, U-Net architectures, and real-time spatial dashboards. Stop just looking at the map—teach your code to understand it.
- Bioinformatics & AI with Python ProgrammingMaster Genomic Data Science, Protein Folding with AlphaFold, and AI-Driven Drug DiscoveryEdgar Milvus
DNA is the ultimate code. Learn how to program it. Bridge the gap between classic bioinformatics and the AI revolution. From DNA sequence manipulation with Biopython to predicting protein structures with AlphaFold and building autonomous RAG agents for drug discovery, this volume is your roadmap to the future of life sciences. Don’t just process data—engineer the future of medicine with Python.
- Cloud-Native Python, DevOps & LLMOps. Containerization, Kubernetes, and Serving AI Models at ScaleFrom Docker and Kubernetes to Serving LLMs with PulumiEdgar Milvus
Your Code Works Locally. Now, Make It Run for the World. 🌍 Mastered Python? Now face the ultimate challenge: Production. Volume 8: Cloud-Native Python, DevOps & LLMOps takes you beyond the IDE and into the data center. Learn to containerize with Docker, orchestrate with Kubernetes, and serve 70B+ parameter models with enterprise-grade LLMOps. Don’t just write software—architect it.
- Finance & AI Trading with Python ProgrammingMaster Algorithmic Trading, Financial NLP, and Vectorized Backtesting to Build Autonomous 'News + Math' StrategiesEdgar Milvus
Stop Watching the Market. Start Coding It. 📈 Welcome to the era of "Quantamental" AI Trading. Volume 7 is your engineering manual for building professional-grade trading infrastructure. Bridge the gap between classical technical analysis and LLMs—designing systems that trade on both Math (price action) and News (sentiment). From vectorized backtesting to sentiment analysis with FinBERT, it’s time to engineer your edge.
- Architecting Neuro-Symbolic Agents with Python ProgrammingIntegrating LLMs, Wolfram Alpha, IBM Watson and Open Source Stacks for Near-Zero Hallucination SystemsEdgar Milvus
What You Will Master: The Enterprise Stack: Google Gemini + Wolfram + Watson. The Open Source Stack: Llama 3 + SymPy + ChromaDB (fully offline). The Outcome: Self-healing, near-infallible agents that never lie about data
