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Category: "Large language models"

Books

  1. Astrophysics & AI with Python Programming
    Astrophysics & AI with Python Programming
    Building Research Agents for Astronomy, Cosmology, and SETI
    Edgar 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.

  2. Geospatial AI (GeoAI) with Python Programming
    Geospatial AI (GeoAI) with Python Programming
    Building Autonomous GIS Agents, Deep Learning Models, and Interactive Dashboards
    Edgar 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.

  3. Bioinformatics & AI with Python Programming
    Bioinformatics & AI with Python Programming
    Master Genomic Data Science, Protein Folding with AlphaFold, and AI-Driven Drug Discovery
    Edgar 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.

  4. Cloud-Native Python, DevOps & LLMOps. Containerization, Kubernetes, and Serving AI Models at Scale
    Cloud-Native Python, DevOps & LLMOps. Containerization, Kubernetes, and Serving AI Models at Scale
    From Docker and Kubernetes to Serving LLMs with Pulumi
    Edgar 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.

  5. Finance & AI Trading with Python Programming
    Finance & AI Trading with Python Programming
    Master Algorithmic Trading, Financial NLP, and Vectorized Backtesting to Build Autonomous 'News + Math' Strategies
    Edgar 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.

  6. Gemini 3 Python Programming - The Complete Guide
    Gemini 3 Python Programming - The Complete Guide
    Agents, Veo 3.1, Lyria, Nano Banana/Pro, Function Calling, Grounding, Computer Use and Robotics
    Edgar Milvus

    Stop Chatting. Start Acting. 🦾 The era of the multimodal agent has arrived. In Volume 5, you won’t just prompt AI—you’ll give it "hands and eyes." Learn to build autonomous agents using Gemini 3 that can control your desktop, browse the web, and process video/audio in real-time. This isn't theory; it’s an engineering manual for building the future. Your "Jarvis" starts here.

  7. Architecting Neuro-Symbolic Agents with Python Programming
    Architecting Neuro-Symbolic Agents with Python Programming
    Integrating LLMs, Wolfram Alpha, IBM Watson and Open Source Stacks for Near-Zero Hallucination Systems
    Edgar 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

  8. AI Autonomous Agents with Python Programming
    AI Autonomous Agents with Python Programming
    Master LangGraph, CrewAI, and RAG to Build Self-Correcting Swarms and Autonomous Digital Workers
    Edgar Milvus

    Stop building chatbots and start architecting autonomous digital workers that act, plan, and collaborate. Master multi-agent orchestration with CrewAI and build self-healing, cyclic workflows using LangGraph. Move beyond simple prompts to implement the OODA loop, browser automation, and production-grade security. Transform LLMs into reasoning engines capable of managing entire software agencies without intervention.