owen tyrell (61 resultados)

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New.

Condición: New.

Paperback. Condición: New.

No Binding. Condición: VG+. 472-14. A VG or better original 8 x 10 still. Size: 8" x 10". Photographic Image.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. Software development is entering a new phase, one where intent, expressed clearly in natural language, becomes as important as the code itself. The Vibe Coding Method for Modern Software Development presents a practical, structured approach to building software with AI assistants as active collaborators rather than passive tools.In this book, Tyrell Owen introduces vibe coding as a modern engineering methodology that blends human judgment with intelligent systems. You'll learn how to design, build, debug, and ship applications using prompt-centered workflows that reduce friction, eliminate repetitive work, and improve development clarity, without sacrificing quality, control, or accountability.Rather than promoting shortcuts or automation for its own sake, this guide focuses on repeatable, professional practices. It walks through complete development lifecycles, showing how AI assistants can support architectural planning, accelerate implementation, assist with debugging, generate tests and documentation, and streamline delivery across a wide range of software projects.Inside, you'll learn how to: Translate requirements and ideas into working software through structured promptingBuild frontend and backend systems using AI-assisted development workflowsDebug complex issues using conversational reasoning and automated analysisImprove code quality with generated tests, documentation, and reviewsCoordinate intelligent workflows across development, testing, and deploymentDeliver applications confidently using modern deployment platformsApply responsible AI practices, including security, oversight, and explainabilityA core theme of the book is prompt-centered engineering, the skill of communicating clearly with AI systems to achieve consistent, high-quality outcomes. By mastering this approach, developers gain leverage rather than dependency, using AI to amplify expertise instead of replacing it.The Vibe Coding Method for Modern Software Development is written for developers, engineers, and technical builders who want to stay effective in an AI-first world. Whether you're working solo, leading a team, or adapting established workflows, this book provides a clear framework for building software that is faster to develop, easier to maintain, and more intentional by design.If you're ready to move beyond manual repetition and adopt a smarter, more collaborative way of building software, this book will show you how to design, build, debug, and ship with confidence in the age of AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Discover the ultimate guide to building context-aware AI systems with MCP Server Development for Context-Aware AI by Tyrell Owen. This hands-on, developer-focused guide takes you step by step through designing, implementing, and scaling Model Context Protocol (MCP) servers that power the next generation of intelligent applications. Whether you're a developer, AI engineer, or enterprise architect, this book equips you with the tools and techniques to build robust, secure, and production-ready AI systems.Inside this book, you'll learn how to: Architect Context-Aware Servers: Understand MCP architecture, JSON-RPC protocols, snapshot and delta memory management, and persistent memory with vector databases.Build Hands-On Projects: Implement real-world systems including chatbots, knowledge-base servers, and automated workflows integrating OpenAI, Claude, and LangChain.Secure and Comply: Design servers with GDPR and CCPA-compliant memory handling, structured logging, red-team simulations, and context isolation for enterprise-grade security.Scale and Automate: Deploy servers with Docker and Kubernetes, configure CI/CD pipelines, implement predictive monitoring, dashboards, S3 publishing, Slack/Teams notifications, and auto-remediation.Troubleshoot and Optimize: Utilize error matrices, memory harnesses, structured logging schemas, and diagnostic exercises to ensure resilient and efficient AI servers.Who This Book Is For: Developers creating LLM-backed systems that require context-awareness and persistent memory.Engineers and DevOps professionals responsible for secure, compliant, and scalable AI deployments.AI architects and technical leads exploring multi-agent workflows, LangChain integrations, and enterprise MCP systems.Why You'll Love This Book: Hands-On and Practical: All examples are runnable and production-ready. Clone the companion GitHub repository to deploy real MCP servers.Enterprise-Ready: Built with best practices in security, observability, self-healing, and automation.Future-Proof: Covers predictive analytics, anomaly detection, multi-agent workflows, and scalable context pipelines.Engaging Learning Experience: Includes scenario-based explanations, troubleshooting exercises, quizzes, and checklists to reinforce learning.From building a chatbot that remembers weeks of interactions to orchestrating a complex multi-agent AI workflow, this book is your blueprint to smarter, safer, and scalable context-aware AI systems.Take the next step in your AI journey, grab MCP Server Development for Context-Aware AI today and start building the intelligent, context-driven systems of tomorrow. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Unlock the transformative power of Graph Neural Networks (GNNs) and elevate your AI systems with contextual intelligence and relational reasoning. This comprehensive guide bridges the gap between cutting-edge research and practical application, empowering data scientists, AI engineers, and machine learning practitioners to design, implement, and scale graph-based AI systems for real-world challenges.In today's complex data environments, relationships between entities are just as crucial as the entities themselves. Traditional deep learning approaches often struggle to capture these intricate connections, limiting performance in domains like recommendation systems, fraud detection, knowledge graphs, and social network analysis. This book dives deep into Graph Neural Networks-offering a hands-on roadmap to leverage GCN, GAT, GraphSAGE, and PyTorch Geometric for building high-performance, explainable, and scalable AI systems.What you'll gain from this book: Foundations of Graph Intelligence: Develop a solid understanding of graph theory, graph data structures, and relational representations as the backbone of modern AI systems.Architectures for Real-World Applications: Explore Graph Convolutional Networks (GCN), Graph Attention Networks (GAT), and GraphSAGE, with practical insights on selecting and customizing architectures for specific use cases.Scalable Training Pipelines: Learn to design efficient data pipelines, mini-batch training strategies, and distributed computing approaches for large-scale graphs.Integration with PyTorch Geometric: Master hands-on implementation, from preprocessing graph data to deploying GNN models using the widely adopted PyTorch Geometric framework.Case Studies & Practical Examples: Dive into real-world projects demonstrating social network analytics, knowledge graph completion, recommendation engines, and fraud detection using GNNs.Whether you are building AI systems for enterprise-scale applications or exploring the forefront of research in graph intelligence, this book equips you with the practical skills, architectural know-how, and strategic insights to harness the full potential of Graph Neural Networks. Ground your AI in relational reasoning, deliver explainable insights, and transform complex data into actionable intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. This book is your complete guide to building next-generation Retrieval-Augmented Generation (RAG) systems powered by knowledge graphs. As LLMs continue to evolve, traditional RAG pipelines struggle with context gaps, shallow retrieval, and limited reasoning. GraphRAG solves these problems by fusing structured knowledge with dynamic retrieval, creating AI systems that are more accurate, explainable, and context-aware.This book gives you a clear, practical, and highly technical foundation for understanding and applying GraphRAG across real-world domains. You'll explore every layer of the modern GraphRAG pipeline-from graph construction and embedding strategies to semantic retrieval, graph reasoning, and generation workflows.Written in a practical, hands-on style, GraphRAG Essentials delivers the tools, patterns, and architectures you need to design, optimize, and deploy knowledge-graph-augmented AI systems at scale.Inside this book, you will learn: - Core GraphRAG principlesHow knowledge graphs enhance retrieval, improve grounding, and deliver richer context to LLMs.- Practical workflows and architecturesStep-by-step pipelines for entity extraction, graph building, retrieval integration, and generation refinement.- Key algorithms and techniquesGraph traversal, semantic similarity search, embeddings, scoring methods, and hybrid retrieval models.- Knowledge graph engineeringSchema design, ontology modeling, graph storage, indexing, and integration with LLM-based systems.- Building GraphRAG applicationsReal-world examples in search, analytics, chat systems, enterprise AI, and domain-specific intelligence.- Performance optimizationHow to improve accuracy, reduce hallucinations, boost retrieval quality, and scale GraphRAG pipelines.- Tooling and frameworksPractical guidance on Neo4j, NetworkX, LangChain, LlamaIndex, and modern graph infrastructure.Who this book is forAI engineers and ML practitionersNLP and knowledge-graph researchersDevelopers building advanced RAG-based applicationsArchitects designing scalable contextual AI systemsAnyone exploring the frontier of AI retrieval and structured reasoningPacked with clear explanations, engineering patterns, and actionable insights, GraphRAG Essentials gives you everything you need to build intelligent, structured, and deeply context-aware retrieval systems.Whether you're enhancing enterprise search, building domain-expert chatbots, or developing custom generative AI applications, this book will help you unlock the full power of GraphRAG. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: New.

Paperback. Condición: New.

Paperback. Condición: new. Paperback. Desktop application development remains a critical skill for developers building tools, dashboards, and data-driven systems-and PyQt6 provides one of the most powerful and flexible frameworks for doing so with Python. PyQt6 Desktop Application Development is a comprehensive, hands-on guide designed to take you from foundational concepts to confidently building complete, real-world GUI applications.This book introduces PyQt6 from the ground up, focusing on the core building blocks that every successful desktop application relies on. You will learn how Qt's widget system works, how layouts control responsive interfaces, and how signals and slots power user interaction. The event-driven model at the heart of Qt is explained clearly, helping you understand how applications respond to user input and system events.User interface design is treated as a first-class concern. You'll learn how to design clean, professional interfaces using Qt Designer, apply styles with Qt Style Sheets, and manage icons, palettes, and themes to create visually consistent applications. Practical guidance ensures that your interfaces remain usable and adaptable across different screen sizes and operating systems.Data-driven development is a central theme throughout the book. You'll work with Qt's model-view architecture to connect user interfaces to structured data sources, including tables, files, and databases. By learning how models, views, and delegates work together, you'll be able to build applications that scale beyond simple forms and into real productivity tools.The book also introduces essential application features such as dialogs, menus, toolbars, system tray integration, and window management. You'll learn how to handle resources correctly, manage file paths safely, and organize projects for long-term maintainability.To ensure practical relevance, concepts are reinforced through extensive hands-on examples and real application scenarios. By the end of PyQt6 Desktop Application Development, you will be able to design, build, and package fully functional cross-platform desktop applications using Python and Qt.This book is ideal for Python developers who are new to GUI development, as well as those looking to build a solid, professional foundation in PyQt6 before moving on to advanced topics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: New.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Unlock the Full Power of Proxmox VE 8.x and Build Enterprise-Grade Virtualization Environments - Step by StepTake control of your virtualization infrastructure with Proxmox VE 8.x, the open-source virtualization platform trusted by IT professionals, DevOps engineers, and homelab enthusiasts worldwide. Whether you're managing a high-availability enterprise cluster, building a scalable homelab, or exploring containerized applications, this book is your complete, hands-on guide to mastering Proxmox VE.In Proxmox VE Mastery, Tyrell Owen walks you through every aspect of deploying, optimizing, and securing virtual environments. From installation to advanced multi-node high-availability (HA) clusters, this book provides practical labs, real-world projects, and configuration blueprints designed to make your virtualization infrastructure powerful, resilient, and secure.Inside This Book, You'll Learn How To: Install and configure Proxmox VE 8.x with ZFS on root for optimal performance and reliability.Launch and optimize KVM virtual machines and LXC containers for efficient, flexible workloads.Deploy GPU passthrough, PCIe redirection, and Cloud-Init automation for advanced use cases.Apply real-world projects, including media servers, dev/test environments, private cloud stacks, and more.Who This Book Is ForSystem Administrators building scalable, resilient virtual environments.DevOps Teams deploying HA clusters, containers, and testing environments.Homelab Enthusiasts exploring virtualization with KVM, LXC, and nested setups.IT Professionals looking for practical, hands-on guidance for Proxmox VE 8.x deployments.Whether you're spinning up your first virtual machine or managing dozens across multiple nodes, this book gives you the skills, tools, and confidence to architect high-performing, secure, and scalable virtual infrastructure using open-source software. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Mojo is redefining what's possible at the intersection of AI, systems programming, and high-performance computing-and this book is your complete roadmap to mastering it.Mojo Programming for High-Performance AI Systems is a practical, in-depth guide designed for modern developers who want more than surface-level tutorials. Whether you're upgrading from Python, optimizing hardware-level workflows, or building next-generation AI pipelines, this book shows you exactly how to unlock Mojo's full potential.Written for developers, engineers, and AI practitioners, this book covers everything from the language fundamentals to cutting-edge features that make Mojo one of the most important emerging tools in modern computing.Inside this comprehensive guide, you'll discover how to: Master the Mojo LanguageBuild Intelligent AI WorkflowsDevelop High-Performance SystemsIntegrate Across EcosystemsApply Mojo in Real-World ProjectsDesign, architect, and ship production-ready applicationsUse performance profiling, benchmarking, and optimization strategiesExplore case studies for AI, scientific computing, and systems softwareMojo represents the next major leap in programming-uniting simplicity, expressive syntax, and unprecedented execution speed in a single, developer-friendly language. For engineers who want to stay ahead of the curve, this book is both a guide and an indispensable asset.If you're ready to master the language poised to reshape AI and high-performance development, this is your starting point.Step into the future of computing. Your next breakthrough begins with Mojo. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Deep learning has entered a new era, one defined by Transformers, diffusion models, graph neural networks, and large-scale architectures that power today's breakthroughs in artificial intelligence. Whether you're a practitioner seeking mastery, a researcher advancing cutting-edge models, or an engineer deploying AI in production environments, this book gives you the deep foundations and practical frameworks needed to build the next generation of intelligent systems.Deep Learning Foundations & Modern Architectures is a complete, end-to-end guide that unifies theory, engineering, and hands-on implementation. Written for the modern AI era, it covers everything from fundamental neural network mathematics to advanced architectures used in generative AI, multimodal systems, and autonomous intelligence.This book is designed to help you understand not only how these systems work, but why they work and how to design, train, optimize, and deploy them with confidence.Inside This Book, You Will Learn How To: Build Strong Deep Learning FoundationsMaster Transformers and Attention-Based ModelsUnderstand and Implement Diffusion ModelsWork with Graph Neural Networks (GNNs)Explore Next-Generation Architectures Train and Optimize Large-Scale Neural NetworksDeploy and Operate Deep Learning Systems in ProductionWho This Book Is ForDeep learning engineersAI researchers & practitionersStudents learning advanced neural networksSoftware engineers transitioning into AIAnyone building or deploying modern AI systemsWhether you're designing a new transformer variant, optimizing model training at scale, or building generative AI applications, this book provides the essential knowledge and architectural patterns you need to succeed in 2025 and beyond.Build the architectures shaping the future of AI.Deep Learning Foundations & Modern Architectures is your blueprint for mastering the models that define tomorrow's intelligent systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Step into the future of productivity and creativity with Mastering Claude 4.5 by Tyrell Owen. Claude 4.5 isn't just another AI it's a next-generation assistant capable of automating complex workflows, generating actionable insights, and supercharging creative and technical projects. Whether you're a developer, knowledge worker, content creator, or tech leader, this book is your ultimate guide to harnessing the full potential of Claude 4.5 for real-world impact.Inside this comprehensive guide, you'll learn how to: Maximize Productivity: Master multi-turn reasoning, intelligent task execution, summarization, and context management to save time and boost efficiency.Automate Workflows: Build AI-driven processes for email management, data analysis, reporting, project planning, and more.Supercharge Creativity: Use Claude 4.5 to brainstorm ideas, draft content, design projects, and explore new creative possibilities.Integrate with Tools and Platforms: Connect Claude to APIs, collaboration software, and productivity suites for seamless, real-world application.Optimize AI Performance: Apply advanced prompting strategies, context handling, and reasoning techniques to extract maximum value from the AI.Deploy Across Domains: Adapt Claude 4.5 for coding, marketing, research, content creation, and enterprise-level knowledge work.With step-by-step projects, expert insights, and practical applications, Mastering Claude 4.5 equips you to go beyond passive AI use. Learn how to orchestrate, automate, and innovate with one of the most powerful AI assistants available today.Stop struggling with repetitive tasks and limited AI outputs. Discover how Claude 4.5 can transform the way you work, create, and solve problems unlocking new levels of productivity, creativity, and innovation.Whether you're aiming to accelerate your career, enhance your creative output, or transform your organization's workflows, this book provides the tools, techniques, and strategies to harness Claude 4.5 as a true productivity and innovation partner. Unlock the full potential of next-generation AI and take your work, creativity, and problem-solving capabilities to unprecedented heights. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. In today's data-driven world, reliable storage is the foundation of every digital system from small home labs to enterprise-scale infrastructures running critical workloads. TrueNAS, ZFS & Ceph: Unleashing Next-Generation Storage Solutions is a complete, hands-on guide for anyone who wants to build secure, scalable, high-performance storage environments using the most powerful open-source technologies available.Written for homelab builders, system administrators, DevOps engineers, cybersecurity professionals, and enterprise architects, this book takes you beyond theory and into real-world deployment. You'll learn not only how these systems work, but why they matter-and how to design architectures that remain resilient even under failure, load, or disaster.With clear explanations, best-practice workflows, and guided labs, this book helps you build storage infrastructures capable of powering media servers, virtualization clusters, containers, cloud integrations, distributed storage, and mission-critical backup environments.Hands-On Projects & Real DeploymentsThis book includes practical exercises and full architecture guides, such as: - A TrueNAS-powered Plex media server for homelab environments- A ZFS backup vault with automated cloud sync and local snapshots- A high-availability Ceph cluster for Kubernetes or virtualization- Troubleshooting playbooks and professional deployment checklistsEach project is designed to help you build confidence by working through real infrastructure challenges just like you would in production.Why This Book Is DifferentInstead of abstract theory, you'll get actionable workflows, battle-tested configurations, and clear explanations that accelerate mastery. Whether you're deploying your first NAS or designing distributed storage for enterprise workloads, this book provides the practical knowledge and strategic thinking needed to create systems that are fast, reliable, secure, and future-ready.Build the next generation of storage infrastructure and do it with confidence This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. AI agents are redefining modern software-powering chatbots, automation systems, productivity tools, and fully autonomous workflows. By combining Python, LLMs, reinforcement learning, and agent frameworks like LangGraph, LangChain, and n8n, developers can now build intelligent systems that reason, plan, and act.This book is a practical guide to creating real agentic AI systems from the ground up.If you want to design conversational agents, build task-oriented automation, or deploy fully autonomous decision-making systems, this book provides the tools and step-by-step skills you need.What You Will LearnCore Agent FoundationsHow agent architectures, memory, planning, and tools workThe difference between reactive, cognitive, and autonomous agentsHow LLMs and machine learning models drive intelligent behavior Practical ML & RL for AgentsKey machine learning and deep learning conceptsReinforcement learning for adaptive decision-makingTraining and improving agent behavior Hands-On ProjectsBuild real systems, including: Conversational chatbots with memoryTask-executing agents using tools and APIsAutomation pipelines with n8nMulti-agent collaboration systemsPython-driven autonomous agents Deployment & ScalingPackaging agents for productionIntegrating APIs, vector databases, and external toolsMonitoring, optimizing, and improving performanceWho This Book Is ForDevelopers, engineers, data scientists, and AI enthusiasts who want to build practical, real-world AI agents. A basic understanding of Python is all you need.Build the Future of Intelligent AutomationStart your journey into agentic AI and learn how to create systems that think, learn, and act.Grab your copy and begin building the next generation of AI agents. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.