dasilva phil (31 risultati)

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. What if the biggest performance gains your APIs will ever achieve aren't hidden in your infrastructure-but in your programming language?This book reveals why Rust is rapidly becoming the secret weapon of top engineering teams, and how API engineers, backend developers, and technical leads can use it to build faster, safer, and dramatically more efficient systems. It doesn't drown you in theory-it shows you exactly why Rust outperforms conventional stacks and how to apply its strengths to real-world API engineering.You'll discover how Rust eliminates entire classes of runtime bugs, how zero-cost abstractions deliver performance without compromise, how async Rust unlocks massive concurrency, and how a well-tuned Rust API can reduce cloud costs while improving throughput and latency. Every chapter breaks down complex ideas into practical, actionable steps you can use immediately-whether you're optimizing an existing service or rewriting a high-traffic API from scratch.What You'll GainThe ability to build lightning-fast APIs with predictable performanceA deep understanding of memory safety, async patterns, and modern Rust toolingPractical optimization tactics used by companies saving millions in cloud spendConfidence to ship production-grade Rust services with stability and clarityA proven roadmap for benchmarking, tracing, and real-world performance tuningWhat Makes This Book DifferentThis isn't a generic Rust textbook. It's a high-performance engineering manual-laser-focused on API design, real benchmarks, real case studies, and real production-ready patterns. Every concept is directly tied to decisions API engineers make every day, making it the most practical, hands-on guide to Rust-powered backend engineering available today.If you're ready to build APIs that outperform, outscale, and outlast the competition, this is the book you need. 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. Delivered from our UK warehouse in 4 to 14 business days. 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.

Paperback. Condizione: new. Paperback. Turn your Generative AI experiments into scalable, production-ready systems.Productionizing Generative AI with Databricks is the ultimate hands-on guide for machine learning engineers, data scientists, and architects who want to bring Large Language Models (LLMs) to life in the enterprise, using the power of the Databricks Lakehouse.From training and fine-tuning to deployment and monitoring, this book shows you how to build, automate, and govern every stage of an LLM pipeline. You'll learn how to connect unstructured data with retrieval-augmented generation (RAG), manage experiments with MLflow, deploy models with Model Serving, and implement continuous delivery workflows with Databricks Asset Bundles.Written in a clear, practical tone by an experienced practitioner, this guide makes complex MLOps patterns approachable and applicable. Each chapter offers actionable insights, real Databricks examples, and best practices drawn from real-world enterprise scenarios.Inside you'll learn how to: Build and scale LLM pipelines using the Databricks Lakehouse.Apply fine-tuning and PEFT for custom generative models.Integrate Vector Search, RAG, and MLflow tracking seamlessly.Use Databricks Asset Bundles (DABs) for CI/CD automation.Implement monitoring, governance, and Responsible AI principles.Avoid common pitfalls when productionizing large-scale AI systems.Whether you're building your first generative model or designing a full-scale enterprise AI platform, this book helps you move from experimentation to reliable, governed production 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. 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. Deep Agents in Action: Deploying Autonomous AI for Research, Code, and Business Unlock the power of AI agents with this hands-on guide to building autonomous, production-ready systems! Deep Agents in Action teaches you to create AI agents that automate complex tasks-coding, research, and business workflows-using cutting-edge tools like LangChain, OpenAI, and Abacus.AI. Perfect for developers, researchers, and business leaders, this book delivers 20+ Python tutorials, real-world case studies, and enterprise ROI strategies that fill gaps left by other AI guides in 2025. Learn step by step to: Build a job application assistant that searches and applies to roles (LangChain tutorial).Automate Gmail replies or GitHub issue fixes with OpenAI's Agent Mode.Create multi-agent systems for lead generation, saving 40+ hours monthly.Optimize agents with evaluation toolkits and standard operating procedures (SOPs).Prepare for 2026 trends like multimodal and self-improving AI agents.With clear code, diagrams, and a GitHub repository, you'll go from beginner to pro, no prior AI expertise needed. Discover how startups cut costs by 30% and researchers save 50% on data analysis. Whether you're coding bug fixes, synthesizing papers, or scaling business automation, this book empowers you to master agentic AI. Start building smarter AI today. 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. Delivered from our UK warehouse in 4 to 14 business days. 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.

Paperback. Condizione: new. Paperback. Are you ready to explore the untold challenges of space exploration-challenges that only artificial intelligence can solve? AI in Space unveils the hidden problems that NASA, SpaceX, ESA, and other space agencies face as humanity pushes deeper into the cosmos. From Mars rovers navigating treacherous terrain to telescopes overwhelmed by data, and from satellites dodging space debris to autonomous construction on the Moon, this book reveals how AI is no longer optional-it is mission-critical.Discover how onboard AI systems make life-or-death decisions in real time, process torrents of scientific data faster than any human team, and maintain spacecraft in environments where failure is not an option. Explore the technical, ethical, and strategic dimensions of deploying intelligent systems in space, including autonomous navigation, predictive maintenance, exoplanet detection, and orbital manufacturing.Through detailed case studies and practical exercises, you'll see how AI transforms spacecraft from remote tools into autonomous partners capable of scientific discovery, operational resilience, and resource optimization. Whether you're a space enthusiast, engineer, policy strategist, or AI professional, this book provides an in-depth look at the technologies and strategies shaping the next era of human exploration.The multi-planetary future is approaching, and artificial intelligence is the engine driving it. AI in Space offers a complete roadmap to understanding the challenges, the solutions, and the inevitable shift toward autonomous space operations. 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. Delivered from our UK warehouse in 4 to 14 business days. 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.

Paperback. Condizione: new. Paperback. Time-series data powers today's most demanding systems-from IoT sensors and DevOps metrics to financial analytics and AI-driven observability. InfluxDB and Flux Deep Dive is your complete, hands-on guide to mastering the database and language built for real-time data.Written for engineers, developers, and data scientists, this book takes you from first principles to production-grade solutions. You'll learn how to design efficient schemas, write and optimize Flux queries, automate data collection with Telegraf, and build end-to-end monitoring stacks with Grafana. Each chapter blends practical examples, detailed explanations, and proven best practices so you can confidently apply what you learn to any time-series use case.Inside, you'll discover how to: Understand and write data using InfluxDB's line protocol and HTTP APIUse Telegraf for system, Docker, and custom metric ingestion at scaleMaster Flux for advanced querying, transformations, and real-time analyticsPerform downsampling, rate calculations, and windowed aggregationsConnect InfluxDB to Grafana to build dynamic dashboards and alertsTune performance for high-volume writes and efficient data retentionMigrate from InfluxQL to Flux with clear, tested patternsWhether you're monitoring distributed systems, analyzing sensor streams, or architecting real-time dashboards, this guide equips you with the technical depth and clarity to make InfluxDB and Flux work for you.Perfect for: Software engineers, data analysts, DevOps practitioners, IoT developers, and anyone working with time-series databases, metrics pipelines, or observability platforms. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. The Complete Guide to Post-Quantum Cryptography for Developers, Engineers, and Security LeadersAs quantum computing accelerates, classical cryptography is approaching its expiration date. This book is the first truly practical, developer-focused roadmap for building, deploying, and maintaining quantum-safe systems using modern NIST-approved algorithms such as CRYSTALS-Kyber, Dilithium, FALCON, SPHINCS+, BIKE, and Classic McEliece.Unlike standards documents, research papers, or academic textbooks, this guide bridges the gap between theory and real-world engineering. It provides clear explanations, production-ready code samples, workflow diagrams, migration playbooks, and end-to-end implementation strategies that make quantum-safe cryptography accessible to any serious professional.Whether you are an engineer preparing for PQC migration, a cybersecurity leader building a long-term crypto-agility strategy, or a student seeking an authoritative reference-this book delivers everything you need in one place. 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. 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. Unlock the future of immersive technology with The Extended Reality Blueprint: A Complete Guide to Learning, Building, and Succeeding in XR. This comprehensive guide demystifies augmented reality (AR), virtual reality (VR), and mixed reality (MR), offering a step-by-step roadmap for enthusiasts, developers, and entrepreneurs. Whether you're a beginner exploring XR or a professional aiming to innovate, this book equips you with practical tools, real-world strategies, and cutting-edge insights to thrive in the fast-evolving XR landscape. Discover how to: Master the fundamentals of AR, VR, and MR technologies.Build immersive experiences with proven development techniques.Leverage XR for business, gaming, education, healthcare, and more.Navigate challenges and seize opportunities in the XR industry.Packed with case studies, expert tips, and actionable advice, this book is your ultimate resource for creating impactful XR solutions and achieving success in this transformative field. Don't miss your chance to lead the next digital revolution; grab your copy today and start building the future of extended reality. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. What if the biggest performance gains your APIs will ever achieve aren't hidden in your infrastructure-but in your programming language?This book reveals why Rust is rapidly becoming the secret weapon of top engineering teams, and how API engineers, backend developers, and technical leads can use it to build faster, safer, and dramatically more efficient systems. It doesn't drown you in theory-it shows you exactly why Rust outperforms conventional stacks and how to apply its strengths to real-world API engineering.You'll discover how Rust eliminates entire classes of runtime bugs, how zero-cost abstractions deliver performance without compromise, how async Rust unlocks massive concurrency, and how a well-tuned Rust API can reduce cloud costs while improving throughput and latency. Every chapter breaks down complex ideas into practical, actionable steps you can use immediately-whether you're optimizing an existing service or rewriting a high-traffic API from scratch.What You'll GainThe ability to build lightning-fast APIs with predictable performanceA deep understanding of memory safety, async patterns, and modern Rust toolingPractical optimization tactics used by companies saving millions in cloud spendConfidence to ship production-grade Rust services with stability and clarityA proven roadmap for benchmarking, tracing, and real-world performance tuningWhat Makes This Book DifferentThis isn't a generic Rust textbook. It's a high-performance engineering manual-laser-focused on API design, real benchmarks, real case studies, and real production-ready patterns. Every concept is directly tied to decisions API engineers make every day, making it the most practical, hands-on guide to Rust-powered backend engineering available today.If you're ready to build APIs that outperform, outscale, and outlast the competition, this is the book you need. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Deep Agents in Action: Deploying Autonomous AI for Research, Code, and Business Unlock the power of AI agents with this hands-on guide to building autonomous, production-ready systems! Deep Agents in Action teaches you to create AI agents that automate complex tasks-coding, research, and business workflows-using cutting-edge tools like LangChain, OpenAI, and Abacus.AI. Perfect for developers, researchers, and business leaders, this book delivers 20+ Python tutorials, real-world case studies, and enterprise ROI strategies that fill gaps left by other AI guides in 2025. Learn step by step to: Build a job application assistant that searches and applies to roles (LangChain tutorial).Automate Gmail replies or GitHub issue fixes with OpenAI's Agent Mode.Create multi-agent systems for lead generation, saving 40+ hours monthly.Optimize agents with evaluation toolkits and standard operating procedures (SOPs).Prepare for 2026 trends like multimodal and self-improving AI agents.With clear code, diagrams, and a GitHub repository, you'll go from beginner to pro, no prior AI expertise needed. Discover how startups cut costs by 30% and researchers save 50% on data analysis. Whether you're coding bug fixes, synthesizing papers, or scaling business automation, this book empowers you to master agentic AI. Start building smarter AI today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Turn your Generative AI experiments into scalable, production-ready systems.Productionizing Generative AI with Databricks is the ultimate hands-on guide for machine learning engineers, data scientists, and architects who want to bring Large Language Models (LLMs) to life in the enterprise, using the power of the Databricks Lakehouse.From training and fine-tuning to deployment and monitoring, this book shows you how to build, automate, and govern every stage of an LLM pipeline. You'll learn how to connect unstructured data with retrieval-augmented generation (RAG), manage experiments with MLflow, deploy models with Model Serving, and implement continuous delivery workflows with Databricks Asset Bundles.Written in a clear, practical tone by an experienced practitioner, this guide makes complex MLOps patterns approachable and applicable. Each chapter offers actionable insights, real Databricks examples, and best practices drawn from real-world enterprise scenarios.Inside you'll learn how to: Build and scale LLM pipelines using the Databricks Lakehouse.Apply fine-tuning and PEFT for custom generative models.Integrate Vector Search, RAG, and MLflow tracking seamlessly.Use Databricks Asset Bundles (DABs) for CI/CD automation.Implement monitoring, governance, and Responsible AI principles.Avoid common pitfalls when productionizing large-scale AI systems.Whether you're building your first generative model or designing a full-scale enterprise AI platform, this book helps you move from experimentation to reliable, governed production systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Are you ready to explore the untold challenges of space exploration-challenges that only artificial intelligence can solve? AI in Space unveils the hidden problems that NASA, SpaceX, ESA, and other space agencies face as humanity pushes deeper into the cosmos. From Mars rovers navigating treacherous terrain to telescopes overwhelmed by data, and from satellites dodging space debris to autonomous construction on the Moon, this book reveals how AI is no longer optional-it is mission-critical.Discover how onboard AI systems make life-or-death decisions in real time, process torrents of scientific data faster than any human team, and maintain spacecraft in environments where failure is not an option. Explore the technical, ethical, and strategic dimensions of deploying intelligent systems in space, including autonomous navigation, predictive maintenance, exoplanet detection, and orbital manufacturing.Through detailed case studies and practical exercises, you'll see how AI transforms spacecraft from remote tools into autonomous partners capable of scientific discovery, operational resilience, and resource optimization. Whether you're a space enthusiast, engineer, policy strategist, or AI professional, this book provides an in-depth look at the technologies and strategies shaping the next era of human exploration.The multi-planetary future is approaching, and artificial intelligence is the engine driving it. AI in Space offers a complete roadmap to understanding the challenges, the solutions, and the inevitable shift toward autonomous space operations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Time-series data powers today's most demanding systems-from IoT sensors and DevOps metrics to financial analytics and AI-driven observability. InfluxDB and Flux Deep Dive is your complete, hands-on guide to mastering the database and language built for real-time data.Written for engineers, developers, and data scientists, this book takes you from first principles to production-grade solutions. You'll learn how to design efficient schemas, write and optimize Flux queries, automate data collection with Telegraf, and build end-to-end monitoring stacks with Grafana. Each chapter blends practical examples, detailed explanations, and proven best practices so you can confidently apply what you learn to any time-series use case.Inside, you'll discover how to: Understand and write data using InfluxDB's line protocol and HTTP APIUse Telegraf for system, Docker, and custom metric ingestion at scaleMaster Flux for advanced querying, transformations, and real-time analyticsPerform downsampling, rate calculations, and windowed aggregationsConnect InfluxDB to Grafana to build dynamic dashboards and alertsTune performance for high-volume writes and efficient data retentionMigrate from InfluxQL to Flux with clear, tested patternsWhether you're monitoring distributed systems, analyzing sensor streams, or architecting real-time dashboards, this guide equips you with the technical depth and clarity to make InfluxDB and Flux work for you.Perfect for: Software engineers, data analysts, DevOps practitioners, IoT developers, and anyone working with time-series databases, metrics pipelines, or observability platforms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.