Devereux cyran (78 risultati)

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - Most AI systems today rely on unstructured data and approximate retrieval.And that is exactly where they fail.They miss context.They ignore relationships.They produce answers but not understanding.Knowledge Graph Engineering for LLMs is the starting point for building a new class of AI systems systems designed around structured knowledge, connected data, and relationship-aware intelligence.Instead of treating information as isolated text, this book teaches you how to model, connect, and organize data in ways that allow AI systems to understand how everything fits together.You will learn how to design and build knowledge graphs that integrate seamlessly with large language models giving your systems the ability to retrieve accurate context, reduce hallucinations, and generate more reliable outputs.Inside this book, you will learn how to: - Design scalable knowledge graph schemas and ontologies- Extract structured knowledge from unstructured data using modern AI techniques- Build and manage graph-based data systems for real-world applications- Query and traverse relationships to generate meaningful context- Integrate knowledge graphs with LLMs for improved accuracy and reasoning- Combine graph-based retrieval with vector search for hybrid intelligence systems- Design Graph RAG pipelines that go beyond basic retrievalMore importantly, you will understand the engineering decisions behind these systems why they work, when to use them, and how to avoid the mistakes that cause most AI implementations to fail.This is not a theoretical introduction.It is a practical, system-focused guide that builds a solid foundation for advanced AI architectures preparing you for multi-hop reasoning, agentic workflows, and production-scale systems in the next volumes of the series.If you want to move beyond surface-level AI and build systems that are accurate, structured, and context-aware, this is where it begins.Go beyond text.Build systems that understand relationships.…

Taschenbuch. Condizione: Neu. Neuware - At some point, every developer hits the same wall.You know how to write code.You know how to use your tools.But things still feel slower, messier, and more complicated than they should be.Projects grow.Debugging gets harder.Workflows break down.And suddenly, the problem isn't coding anymore.It's how you work.That's where most developers get stuck and where this book begins.Mastering Visual Studio Code is not a follow-up.It's a shift in how you think about development.Because Visual Studio Code isn't just an editor.In the hands of experienced developers, it becomes a complete engineering environment one that can handle complex systems, multiple languages, automation, debugging, and real-world collaboration.But only if you know how to use it properly.Inside this book, you will learn how to: -Design structured workspaces for complex projects-Navigate large codebases without losing context-Debug multi-layered applications with precision-Automate repetitive workflows and development tasks-Work across multiple languages in a single environment-Integrate testing, version control, and collaboration workflows-Use Git and GitHub the way professional teams do-Manage development environments across local and remote systemsThis is not about features.It's about what happens when everything starts working together.You'll begin to notice something: Tasks that used to take time become instant.Problems that felt complex become manageable.Your workflow becomes smoother, faster, and more predictable.That shift is not accidental.It's engineered.And once you see it, you can't go back.If Book 1 helped you understand Visual Studio Code.This book shows you how to use it like a professional developer.The difference is not subtle.It's the difference between using tools and controlling your workflow. …

Taschenbuch. Condizione: Neu. Neuware - Deploying applications is only the beginning. Running them reliably at scale is where the real engineering challenge begins.Modern OpenShift Operations and Engineering is a deep, operations-focused guide that teaches how to manage, scale, secure, and optimize OpenShift platforms in real-world production environments.Building directly on modern application deployment practices, this book shifts the focus from development to platform ownership covering the tools, principles, and decision-making required to operate Kubernetes systems effectively.Rather than presenting idealized workflows, this book explores the realities of production systems, including failure scenarios, performance bottlenecks, scaling challenges, and operational trade-offs.Inside this book, you will learn how to: - Design and manage resilient OpenShift clusters- Implement GitOps workflows and declarative infrastructure- Monitor systems using metrics, logging, and distributed tracing- Handle failures, incidents, and system degradation- Secure clusters and enforce policies at scale- Optimize performance and resource utilization- Automate platform operations using operators and pipelines- Manage multicluster and hybrid cloud environmentsThe content is grounded in real operational scenarios helping you understand not just how systems work, but how they behave under pressure and how to respond effectively.This book is written for DevOps engineers, site reliability engineers, platform engineers, and experienced developers responsible for running modern infrastructure.By the end of this book, you will have the knowledge and mindset required to operate OpenShift platforms with confidence, efficiency, and production-grade reliability.…

Taschenbuch. Condizione: Neu. Neuware - Building a knowledge graph is only the beginning.The real challenge is making your system think.Most AI applications today rely on basic retrieval pulling fragments of information and hoping the model can make sense of them. But when problems become complex, when context spans multiple relationships, and when accuracy truly matters, these systems begin to fail.They retrieve but they do not reason.Advanced Graph RAG and Reasoning Systems is where AI systems evolve from simple retrieval pipelines into intelligent, relationship-aware architectures capable of multi-step reasoning.This book takes you beyond traditional RAG and introduces a more powerful paradigm one where knowledge is not just retrieved, but connected, traversed, and interpreted across complex structures.Inside this book, you will learn how to: - Design advanced Graph RAG architectures for complex information needs- Implement multi-hop retrieval across deeply connected knowledge graphs- Build reasoning pipelines that follow relationships instead of isolated data points- Combine graph search, vector search, and semantic retrieval into unified systems- Develop LLM-powered agents that interact intelligently with structured knowledge- Orchestrate agentic workflows for research, analysis, and decision-making- Optimize context construction for accuracy, relevance, and efficiency- Evaluate reasoning quality and continuously improve system performanceMore importantly, you will learn how to move from 'query and response' systems to true reasoning systems systems that can navigate relationships, adapt to complexity, and deliver higher-quality, context-aware outputs.This is not theory.This is a deep, engineering-focused guide to building the intelligence layer of modern AI systems where retrieval becomes reasoning, and systems begin to behave like problem solvers rather than search tools.Book 1 gave you the foundation, this book gives you the capability to build AI systems that think in connections, not just text.Go beyond retrieval.Build systems that reason. …

Taschenbuch. Condizione: Neu. Neuware - You don't need another generic programming guide.You need a system that actually shows you how developers work.Most beginners struggle not because coding is too hard but because no one explains how everything fits together. Editors, terminals, Git, debugging, extensions. it feels disconnected, overwhelming, and frustrating.This book fixes that.Visual Studio Code for Beginners is not just a guide to an editor-it's a practical, structured path into modern software development using one of the most powerful tools available today.Instead of throwing features at you, this book teaches you how to use Visual Studio Code the way real developers do-step by step, with purpose, and with clarity.Inside this book, you will: -Set up Visual Studio Code the right way for real development-Understand the interface without confusion or guesswork-Organize projects and files like a professional developer-Use extensions, IntelliSense, and code navigation effectively-Work confidently with the integrated terminal-Debug applications and fix problems with precision-Use Git and GitHub for real version control workflows-Build a practical project that grows as your skills improve-Develop habits that make you faster, more efficient, and more confidentThis is not a collection of isolated lessons.It's a connected learning experience designed to take you from 'I don't understand what I'm doing' to 'I can actually build and manage projects.'If you've ever: - Opened Visual Studio Code and felt lost- Followed tutorials but still felt unsure- Struggled to connect tools and concepts- Wanted to become more confident writing codeThen this book was written for you.By the time you finish, you won't just know what Visual Studio Code can do you'll know how to use it to actually get work done.And that's the difference.Start building real skills today. …

Taschenbuch. Condizione: Neu. Neuware - Modern application development has fundamentally changed. Building software today means designing systems that are distributed, containerized, and capable of running reliably across dynamic cloud environments. Yet many developers struggle to move beyond basic Kubernetes concepts into real-world implementation.Modern Application Development with OpenShift: For Modern Kubernetes and Cloud-Native Workflows provides a practical, engineering-driven guide to building production-ready applications using OpenShift.Rather than focusing on isolated features, this book teaches how experienced engineers approach application design, containerization, deployment, and system architecture in modern cloud-native environments.Starting with foundational principles, the book guides you through the complete development lifecycle-covering containers, deployments, microservices, networking, storage, and observability while continuously connecting each concept to real production scenarios.Inside this book, you will learn how to: - Design scalable cloud-native applications using modern architectural patterns- Containerize applications efficiently and manage images with confidence- Deploy and manage workloads using Kubernetes and OpenShift abstractions- Build and structure microservices systems for real-world use cases- Configure networking, storage, and runtime environments- Monitor, debug, and optimize application performance- Apply security practices that align with production environments- Prepare applications for scalability, resilience, and long-term maintainabilityThe examples throughout the book are grounded in realistic domains such as SaaS platforms, e-commerce systems, and distributed services ensuring that every concept translates directly into practical engineering skills.This book is written for developers and engineers who want to move beyond theory and build systems that work in real-world conditions.By the end of this book, you will not only understand OpenShift you will know how to design and deliver cloud-native applications with confidence.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - Stop treating AI like magic. Start building it like an engineer.Every Java developer eventually hits the same wall: your company wants 'AI features,' the tutorials online are all Python, and you're left wondering how any of this fits into the Spring Boot applications you actually know how to build.Mastering Spring AI Foundations closes that gap completely.This isn't another 'call the API and print the response' tutorial. You'll learn why large language models behave the way they do tokens, context windows, embeddings, and hallucination before you write a single line of Spring AI code, so that every technique that follows actually makes sense instead of feeling like superstition.Then you'll build. Chapter by chapter, you'll construct a real, working internal knowledge assistant using Spring Boot and Spring AI: wiring up the ChatClient, engineering prompts that actually behave consistently, extracting structured and validated output from a notoriously unpredictable model, generating embeddings, and assembling your first complete Retrieval-Augmented Generation (RAG) pipeline backed by PgVector and Redis.Inside, you'll learn how to: \*Understand how LLMs, tokens, and embeddings actually work not just how to call them\* Build production-style Spring Boot services using the Spring AI ChatClient API\* Engineer reliable prompts with system/user roles, few-shot examples, and chain-of-thought techniques\* Extract and validate structured JSON output from AI responses using Java records and Bean Validation\* Generate and compare embeddings, and build real semantic search from scratch\* Design, build, and evaluate a complete RAG pipeline ingestion, chunking, retrieval, and grounded generation\* Test, monitor, and secure your first AI-powered features before they ever reach real usersEvery chapter includes complete, real-world Java code no toy examples, no hand-waving built around a coherent, evolving project rather than disconnected snippets. By the end, you won't just know how to call an LLM. You'll understand why your system behaves the way it does, and you'll have the engineering discipline to build AI features that survive contact with real users.This is Book 1 of 3 in the Spring AI Engineering Series the foundation for everything that follows: advanced RAG and agent architecture (Book 2) and full production deployment at scale (Book 3).If you're ready to stop guessing and start engineering intelligent Java applications, start here.…

Taschenbuch. Condizione: Neu. Neuware - Knowing the basics is one thing running real servers is another.This book takes you beyond fundamentals and into the reality of system administration, where performance, reliability, and problem-solving matter.Focused on practical, real-world operations, this guide shows you how Ubuntu Server is used in production environments where systems must stay online, secure, and efficient.Inside, you will learn how to: - Manage users, permissions, and secure access at scale- Configure and control system services using systemd- Monitor performance and optimize system resources- Set up and manage web servers and file-sharing services- Design and manage storage systems using LVM and disk strategies- Implement logging, monitoring, and backup solutions- Automate routine tasks using Bash scripting and Ansible- Troubleshoot real-world issues with confidenceThis is not a beginner's guide it is a hands-on operational manual built from real system administration experience.By the end of this book, you will be capable of managing Ubuntu servers in production-like environments and handling the challenges that come with them.If you want to move from 'learning Linux' to actually running systems, this is the book that gets you there.…

Taschenbuch. Condizione: Neu. Neuware - Getting started with Linux servers can feel overwhelming but it doesn't have to be.This book is your practical entry point into the world of Ubuntu Server, designed to take you from zero experience to confident system administration.Instead of drowning you in theory, this guide focuses on what actually matters: understanding how Ubuntu Server works and how to use it effectively in real environments.You will learn how to: - Install Ubuntu Server on physical machines and virtual environments- Navigate and master the Linux command line with confidence- Manage users, permissions, and system security- Work with files, processes, and software packages- Configure networking and connect to remote systems- Set up basic server services and maintain system healthEach chapter is structured to build your confidence step by step, combining clear explanations with practical, real-world usage.By the end of this book, you won't just 'know' Ubuntu you'll be able to work with it.Whether you're an aspiring system administrator, developer, or IT professional, this book gives you the foundation you need to move forward.…

Taschenbuch. Condizione: Neu. Neuware - Most AI systems never fail in development.They fail in production.They work in controlled environments but break under real-world pressure.They scale in theory but collapse under load.They generate results but lack reliability, security, and control.Production-Grade Knowledge Graph AI Systems is the final step in building AI systems that don't just work but operate, scale, and survive in real-world environments.This book focuses on what truly separates experimental AI from enterprise-ready systems: engineering discipline, operational excellence, and system reliability.You will learn how to take advanced graph-powered AI architectures and transform them into robust, scalable, and production-ready platforms capable of handling real-world complexity.Inside this book, you will learn how to: - Design distributed architectures for large-scale knowledge graph AI systems- Optimize performance, latency, and cost across multi-stage pipelines- Implement observability, monitoring, and debugging for AI systems in production- Build evaluation frameworks to measure accuracy, reliability, and system quality- Secure graph and LLM integrations against real-world threats- Manage data integrity, governance, and lifecycle at scale- Deploy systems using modern infrastructure and CI/CD pipelines- Continuously improve systems through feedback loops and iterative optimizationMore importantly, you will learn how to think like an engineer responsible for systems that cannot fail systems that must deliver consistent, reliable results under pressure.This book does not focus on theory.It focuses on what breaks, why it breaks, and how to design systems that don't.By the end, you will understand how to move beyond experimentation and build AI systems that are: - Reliable under load- Observable and debuggable- Secure and compliant- Cost-efficient and scalable- Maintainable over timeBook 1 gave you the foundation, and Book 2 gave you intelligence, this book gives you control.The ability to take everything you've built and make it work in the real world.Go beyond prototypes.Build systems that last.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Most developers never reach this level.They learn tools.They complete projects.They gain experience.But their workflow never truly evolves.It stays fragmented.Reactive.Limited by how they think not by what they know.And that's the real bottleneck.Visual Studio Code Power User Handbook is not a guide to features.It is a guide to control.This book is written for developers who are no longer satisfied with "getting things done" but want to operate with precision, speed, and system-level awareness.Because at scale, development is no longer about writing code.It's about: How systems are structuredHow workflows are engineeredHow complexity is managedHow performance is maintainedHow decisions impact long-term outcomesAnd most importantly.How everything works together.Inside this book, you will learn how to: -Engineer high-performance development environments that eliminate friction-Work efficiently within large-scale and multi-service codebases-Design automation pipelines that remove repetitive work entirely-Integrate DevOps workflows directly into your development process-Build and manage containerized and cloud-based environments-Debug complex systems with structured, repeatable strategies-Apply AI-assisted development without sacrificing code quality or control-Optimize your workflow for speed, clarity, and long-term scalabilityBut this book goes further.It introduces a shift that most developers never make: From using tools.to designing systems.From solving problems.to preventing them.From writing code.to engineering outcomes.Throughout the book, you will work with an evolving, production-level system that demonstrates how real-world complexity is handled across environments, services, and workflows.This is not theory.This is how modern development actually operates at a high level.If you've ever felt that: Your workflow is holding you backYour tools are underutilizedYour projects are becoming harder to manageYour productivity depends too much on effort instead of structureThen you're already at the point where this book becomes essential.By the end of this book, you will not just use Visual Studio Code.You will understand how to shape your entire development environment around it turning it into a system that scales with your work, your projects, and your ambition.And once that shift happens.There is no going back.This book is ideal for: Advanced developers and experienced engineersTechnical leads and system architectsDevOps and platform-focused engineersDevelopers working on large or complex systemsProfessionals who want to operate at a higher level of performanceIf you're ready to move beyond tools and start thinking like a systems engineer.This is where it happens. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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

Condizione: New. Print on Demand.

PAP. Condizione: 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. Condizione: new. Paperback. At some point, every developer hits the same wall.You know how to write code.You know how to use your tools.But things still feel slower, messier, and more complicated than they should be.Projects grow.Debugging gets harder.Workflows break down.And suddenly, the problem isn't coding anymore.It's how you work.That's where most developers get stuck and where this book begins.Mastering Visual Studio Code is not a follow-up.It's a shift in how you think about development.Because Visual Studio Code isn't just an editor.In the hands of experienced developers, it becomes a complete engineering environment one that can handle complex systems, multiple languages, automation, debugging, and real-world collaboration.But only if you know how to use it properly.Inside this book, you will learn how to: -Design structured workspaces for complex projects-Navigate large codebases without losing context-Debug multi-layered applications with precision-Automate repetitive workflows and development tasks-Work across multiple languages in a single environment-Integrate testing, version control, and collaboration workflows-Use Git and GitHub the way professional teams do-Manage development environments across local and remote systemsThis is not about features.It's about what happens when everything starts working together.You'll begin to notice something: Tasks that used to take time become instant.Problems that felt complex become manageable.Your workflow becomes smoother, faster, and more predictable.That shift is not accidental.It's engineered.And once you see it, you can't go back.If Book 1 helped you understand Visual Studio Code.This book shows you how to use it like a professional developer.The difference is not subtle.It's the difference between using tools and controlling your workflow. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Most AI systems today rely on unstructured data and approximate retrieval.And that is exactly where they fail.They miss context.They ignore relationships.They produce answers but not understanding.Knowledge Graph Engineering for LLMs is the starting point for building a new class of AI systems systems designed around structured knowledge, connected data, and relationship-aware intelligence.Instead of treating information as isolated text, this book teaches you how to model, connect, and organize data in ways that allow AI systems to understand how everything fits together.You will learn how to design and build knowledge graphs that integrate seamlessly with large language models giving your systems the ability to retrieve accurate context, reduce hallucinations, and generate more reliable outputs.Inside this book, you will learn how to: Design scalable knowledge graph schemas and ontologiesExtract structured knowledge from unstructured data using modern AI techniquesBuild and manage graph-based data systems for real-world applicationsQuery and traverse relationships to generate meaningful contextIntegrate knowledge graphs with LLMs for improved accuracy and reasoningCombine graph-based retrieval with vector search for hybrid intelligence systemsDesign Graph RAG pipelines that go beyond basic retrievalMore importantly, you will understand the engineering decisions behind these systems why they work, when to use them, and how to avoid the mistakes that cause most AI implementations to fail.This is not a theoretical introduction.It is a practical, system-focused guide that builds a solid foundation for advanced AI architectures preparing you for multi-hop reasoning, agentic workflows, and production-scale systems in the next volumes of the series.If you want to move beyond surface-level AI and build systems that are accurate, structured, and context-aware, this is where it begins.Go beyond text.Build systems that understand relationships. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Most people use AI to write.Professionals use AI to win attention, build trust, and drive action.Jasper AI Mastery is your complete guide to creating content that doesn't just fill space but connects, converts, and performs.Instead of relying on random prompts or generic outputs, this book teaches you how to: Develop a clear and consistent brand voiceWrite prompts that produce high-quality, persuasive contentCreate blogs, emails, ads, and social content that actually convertTurn rough ideas into structured marketing assetsBuild repeatable systems for consistent content creationEliminate robotic, generic AI outputs and create human-feeling contentThis is where most people get stuck with AI and where you pull ahead.Whether you're a marketer, creator, entrepreneur, or business owner, this book gives you the foundation to use AI with intention, clarity, and strategy.If you want your content to stand out and actually work this is where you start. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Deploying applications is only the beginning. Running them reliably at scale is where the real engineering challenge begins.Modern OpenShift Operations and Engineering is a deep, operations-focused guide that teaches how to manage, scale, secure, and optimize OpenShift platforms in real-world production environments.Building directly on modern application deployment practices, this book shifts the focus from development to platform ownership covering the tools, principles, and decision-making required to operate Kubernetes systems effectively.Rather than presenting idealized workflows, this book explores the realities of production systems, including failure scenarios, performance bottlenecks, scaling challenges, and operational trade-offs.Inside this book, you will learn how to: Design and manage resilient OpenShift clustersImplement GitOps workflows and declarative infrastructureMonitor systems using metrics, logging, and distributed tracingHandle failures, incidents, and system degradationSecure clusters and enforce policies at scaleOptimize performance and resource utilizationAutomate platform operations using operators and pipelinesManage multicluster and hybrid cloud environmentsThe content is grounded in real operational scenarios helping you understand not just how systems work, but how they behave under pressure and how to respond effectively.This book is written for DevOps engineers, site reliability engineers, platform engineers, and experienced developers responsible for running modern infrastructure.By the end of this book, you will have the knowledge and mindset required to operate OpenShift platforms with confidence, efficiency, and production-grade reliability. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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