Daven Solomon (55 results)

Paperback. Condition: new. Paperback. Professional Robotics Engineering is a practical, industry-focused guide to designing, building, and scaling real-world robotics systems that go beyond prototypes and academic demos. It is written for engineers who want to move into production-grade robotics development, where reliability, performance, and system integration matter more than isolated experiments.Most robotics content stops at small projects or simulated examples. This book goes further. It focuses on what it actually takes to build robotics systems that can operate in real environments, handle failure conditions, process continuous sensor streams, and scale across multiple devices or deployments. The emphasis is on engineering discipline, system architecture, and production-ready implementation.Modern robotics success is not defined by whether a robot can move or detect objects. It is defined by whether the system can run continuously, respond safely under uncertainty, integrate multiple sensors reliably, and maintain performance under real-world constraints such as noise, latency, hardware variation, and environmental unpredictability.This book is written for: Robotics engineers moving from prototypes to production systemsAI and machine learning engineers building embodied intelligence systemsSoftware engineers transitioning into robotics and automation platformsComputer vision engineers working on real-time perception systemsDevelopers building autonomous navigation, mapping, and control systemsTechnical founders building robotics startups or automation productsStudents and researchers aiming to work in industrial robotics or autonomous systemsThe book focuses heavily on system-level engineering. Readers will learn how to design full robotics architectures that integrate perception pipelines, sensor fusion layers, SLAM systems, decision-making engines, and real-time control loops. Instead of treating these components separately, the book shows how they interact inside a single operational system.A key focus is scalability. Many robotics systems fail not at the algorithm level, but at the integration level when moving from one robot to many. This book explains how to design modular architectures that can scale across fleets of robots, distributed systems, or industrial environments without breaking consistency or performance.It also covers reliability engineering. Real robotics systems must handle partial sensor failure, communication delays, unpredictable environments, and hardware inconsistencies. The book explains how to design fallback behaviors, safety layers, monitoring systems, and recovery mechanisms that keep robots operational even under degraded conditions.Another major theme is real-time performance. Robotics is not batch processing. Every decision is time-sensitive. The book teaches how to structure systems that meet strict latency requirements while maintaining accuracy and stability across perception, planning, and control layers.Rather than focusing on isolated algorithms, the book emphasizes complete workflows. Readers will see how perception feeds into mapping, how mapping supports planning, how planning connects to control, and how decision systems coordinate everything into a coherent behavior model.By the end of the book, readers will understand how to design and build production-grade robotics systems that can operate in real environments, scale across deployments, and meet industrial reliability standards. More importantly, they will understand how to think like robotics system engineers rather than experiment-level developers.This is not a beginner introduction to robotics. It is a practical engineering reference for building commercial-grade autonomous systems and robotics platforms th Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New.

Paperback. Condition: new. Paperback. Intelligent Robotics with AI and Computer Vision is a hands-on engineering guide to building real autonomous robotic systems that see, think, and act in dynamic environments. It is written for developers and engineers who want to move beyond isolated algorithms and understand how complete robotics systems are designed, integrated, and deployed in practice.Modern robotics is no longer about writing simple control code or running standalone vision models. Real systems combine computer vision, machine learning, sensor fusion, real-time control, and decision-making into a single continuous pipeline. This book focuses on that full pipeline. It shows how each component connects to the next, and how raw sensor data becomes intelligent behavior inside a physical robot.The content is structured around practical implementation. Readers work through the same core technologies used in real robotics systems today, including OpenCV for visual perception, deep learning for object detection and recognition, ROS2 for distributed robotic software architecture, Kalman filtering and sensor fusion for state estimation, and SLAM-based localization and mapping for navigation in unknown environments. These are not treated as abstract concepts, but as working components inside complete robotic systems.A major focus of this book is system integration. Many engineers can implement individual models or algorithms, but struggle when combining them into a stable robotic system. This book addresses that gap directly. It explains how vision systems interact with navigation stacks, how sensor data is synchronized and fused, and how autonomous decision-making layers control robot behavior in real time. The emphasis is on building systems that function reliably under real-world constraints such as noise, latency, uncertainty, and dynamic obstacles.This book is designed for readers who want to build real capabilities in robotics and AI, including: AI and machine learning engineers transitioning into robotics and embodied systemsRobotics developers building autonomous navigation, mapping, or control systemsComputer vision engineers applying perception models in physical environmentsSoftware engineers learning ROS2 and real-time distributed robotics architectureResearchers and students who want practical implementation experience beyond theoryBuilders working on drones, autonomous vehicles, warehouse robots, or intelligent agentsEach concept in the book is grounded in implementation. Readers will not only understand how algorithms like convolutional neural networks, Kalman filters, or SLAM work, but also how they are deployed inside a functioning robotic architecture. The examples are designed to reflect real engineering workflows, where multiple subsystems must run concurrently and interact continuously.The book also emphasizes real-time system thinking. Robotics is not batch processing; it is continuous decision-making under strict timing constraints. A robot must process sensor streams, update its internal state, compute trajectories, and execute control signals without delay. This book teaches how to structure systems that meet those requirements using modular design and event-driven architectures.By the end of the book, readers will be able to design and build an intelligent robotic system capable of visual perception, sensor fusion, autonomous navigation, and adaptive decision-making. More importantly, they will understand how to move from writing individual algorithms to engineering complete autonomous systems that operate reliably in unpredictable environments.This is not a theoretical introduction to robotics. It is a practical engineering reference for building intelligent machines that function in the real world. Th Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condition: new. Paperback. What if you could build an AI that thinks like a hacker. but works for you?In today's rapidly evolving cyber battlefield, traditional security methods are no longer enough. Attackers are automating, scaling, and adapting faster than ever before. To defend modern systems, you need more than tools-you need intelligence.Agentic AI for Ethical Hacking is your complete, hands-on guide to designing, building, and deploying autonomous AI agents capable of performing real-world penetration testing tasks with precision, speed, and strategic reasoning.This isn't theory. This is execution.Inside this powerful manual, you'll learn how to transform Large Language Models (LLMs) into goal-driven cybersecurity agents that can: Perform reconnaissance and map attack surfaces automaticallyExecute vulnerability scans and intelligently interpret resultsPlan and simulate exploitation paths in controlled environmentsCoordinate multi-agent red team operationsGenerate actionable insights for defensive security teamsFrom foundational concepts to advanced agent orchestration, this book walks you step-by-step through building AI-powered penetration testing systems that mirror the thinking process of elite security professionals.What Makes This Book Different?Unlike generic AI or cybersecurity books, this guide focuses on the intersection of both fields-where real innovation is happening.You won't just learn about AI or about ethical hacking. You'll learn how to engineer autonomous systems that actively perform security operations.With real-world examples, production-ready Python code, and practical workflows, you'll master: Agent architecture (single-agent and multi-agent systems)Reasoning loops (ReAct pattern: Reason + Act)Memory, planning, and decision-making in AI agentsIntegration with tools like Nmap, OpenVAS, and OSINT frameworksBuilding safe, sandboxed environments using Docker and VMsDesigning ethical guardrails and compliance-aware AI systemsWho This Book Is ForCybersecurity analysts and penetration testersAI engineers and machine learning practitionersDevOps and cloud security engineersRed teamers and blue teamersDevelopers entering the world of AI-driven securityIf you understand Python and basic cybersecurity concepts, this book will take you to the next level of modern security engineering.Built with Ethics at the CorePower without control is dangerous.That's why this book places a strong emphasis on: Rules of Engagement (RoE)Legal and compliance frameworksSafe execution environmentsHuman-in-the-loop systemsAI guardrails to prevent misuseYou'll not only learn how to build powerful agents-but how to build them responsibly.The Future Is Autonomous-Are You Ready?The cybersecurity industry is shifting from manual operations to continuous, AI-driven security validation. Organizations that adopt agentic systems will outpace those that rely on static defenses.This book equips you with the tools, mindset, and architecture needed to: Stay ahead of automated threatsBuild intelligent security systemsTransition from operator to architectIf You Want to: Automate penetration testing workflowsBuild AI agents that think and act independentlyCombine LLMs with real-world security toolsFuture-proof your cybersecurity skillsThen this book is not optional-it's essential.Start building the next generation of ethical hacking systems today. This item Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Robotics is no longer confined to research laboratories and large manufacturing facilities. It powers autonomous vehicles, industrial automation systems, smart devices, robotic arms, mobile robots, drones, and countless embedded applications that shape modern technology. Behind every successful robotic system lies a foundation of embedded engineering, real-time control, hardware programming, and intelligent system design.Embedded Robotics Engineering is a practical and comprehensive guide designed to help you build that foundation from the ground up.Whether your goal is to develop autonomous robots, master embedded programming, improve your understanding of control systems, or transition into robotics engineering professionally, this book provides the knowledge and practical skills needed to design, program, and deploy real robotic systems.Unlike books that focus heavily on theory without showing how systems are actually built, this guide bridges the gap between engineering concepts and practical implementation. Every chapter is written with a strong emphasis on real-world applications, helping you understand not only how robotic systems work but also how professional engineers develop them.Inside these pages, you will learn how microcontrollers interact with sensors, actuators, motors, and communication networks to create intelligent robotic platforms. You will gain a clear understanding of real-time computing, embedded software architecture, motor control systems, feedback mechanisms, and industrial communication technologies that drive modern robotics.You will also move beyond individual components and discover how complete robotic systems are engineered, integrated, tested, and optimized.What You Will LearnAdvanced embedded systems architecture and design principles.Memory management and processing constraints in embedded environments.Real-time computing concepts and deterministic system behavior.Embedded programming using C and C++ for hardware applications.Real-Time Operating Systems (RTOS) and task scheduling techniques.Interrupt handling and timer-based system design.PWM generation and motor control fundamentals.Speed regulation and position control strategies.Open-loop and closed-loop control systems.PID control implementation and tuning methods.UART, I2C, and SPI communication protocols.CAN Bus communication and industrial networking concepts.Robotic arm development and joint control systems.Practical Learning Through Real CodeThis book goes beyond explanations and includes numerous code examples written in C and C++, demonstrating how embedded robotics concepts are implemented in actual systems.You will learn how to: Interface sensors and actuators with microcontrollers.Develop interrupt-driven applications.Configure timers and PWM modules.Build communication interfaces.Implement feedback control systems.Develop motor control software.Create robotic navigation routines.Design embedded software architectures for robotics projects.Each example is accompanied by detailed explanations that help you understand the reasoning behind the implementation, making it easier to adapt the concepts to your own projects.Build the Skills That Modern Robotics DemandsThe demand for robotics and automation expertise continues to grow across manufacturing, logistics, healthcare, transportation, agriculture, defense, research, and consumer technology. Organizations need engineers and developers who can understand both software and hardware and who can integrate these disciplines into reliable, intelligent systems.Start building the foundation that powers t Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. Professional Robotics Engineering is a practical, industry-focused guide to designing, building, and scaling real-world robotics systems that go beyond prototypes and academic demos. It is written for engineers who want to move into production-grade robotics development, where reliability, performance, and system integration matter more than isolated experiments.Most robotics content stops at small projects or simulated examples. This book goes further. It focuses on what it actually takes to build robotics systems that can operate in real environments, handle failure conditions, process continuous sensor streams, and scale across multiple devices or deployments. The emphasis is on engineering discipline, system architecture, and production-ready implementation.Modern robotics success is not defined by whether a robot can move or detect objects. It is defined by whether the system can run continuously, respond safely under uncertainty, integrate multiple sensors reliably, and maintain performance under real-world constraints such as noise, latency, hardware variation, and environmental unpredictability.This book is written for: Robotics engineers moving from prototypes to production systemsAI and machine learning engineers building embodied intelligence systemsSoftware engineers transitioning into robotics and automation platformsComputer vision engineers working on real-time perception systemsDevelopers building autonomous navigation, mapping, and control systemsTechnical founders building robotics startups or automation productsStudents and researchers aiming to work in industrial robotics or autonomous systemsThe book focuses heavily on system-level engineering. Readers will learn how to design full robotics architectures that integrate perception pipelines, sensor fusion layers, SLAM systems, decision-making engines, and real-time control loops. Instead of treating these components separately, the book shows how they interact inside a single operational system.A key focus is scalability. Many robotics systems fail not at the algorithm level, but at the integration level when moving from one robot to many. This book explains how to design modular architectures that can scale across fleets of robots, distributed systems, or industrial environments without breaking consistency or performance.It also covers reliability engineering. Real robotics systems must handle partial sensor failure, communication delays, unpredictable environments, and hardware inconsistencies. The book explains how to design fallback behaviors, safety layers, monitoring systems, and recovery mechanisms that keep robots operational even under degraded conditions.Another major theme is real-time performance. Robotics is not batch processing. Every decision is time-sensitive. The book teaches how to structure systems that meet strict latency requirements while maintaining accuracy and stability across perception, planning, and control layers.Rather than focusing on isolated algorithms, the book emphasizes complete workflows. Readers will see how perception feeds into mapping, how mapping supports planning, how planning connects to control, and how decision systems coordinate everything into a coherent behavior model.By the end of the book, readers will understand how to design and build production-grade robotics systems that can operate in real environments, scale across deployments, and meet industrial reliability standards. More importantly, they will understand how to think like robotics system engineers rather than experiment-level developers.This is not a beginner introduction to robotics. It is a practical engineering reference for building commercial-grade autonomous systems and robotics Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Intelligent Robotics with AI and Computer Vision is a hands-on engineering guide to building real autonomous robotic systems that see, think, and act in dynamic environments. It is written for developers and engineers who want to move beyond isolated algorithms and understand how complete robotics systems are designed, integrated, and deployed in practice.Modern robotics is no longer about writing simple control code or running standalone vision models. Real systems combine computer vision, machine learning, sensor fusion, real-time control, and decision-making into a single continuous pipeline. This book focuses on that full pipeline. It shows how each component connects to the next, and how raw sensor data becomes intelligent behavior inside a physical robot.The content is structured around practical implementation. Readers work through the same core technologies used in real robotics systems today, including OpenCV for visual perception, deep learning for object detection and recognition, ROS2 for distributed robotic software architecture, Kalman filtering and sensor fusion for state estimation, and SLAM-based localization and mapping for navigation in unknown environments. These are not treated as abstract concepts, but as working components inside complete robotic systems.A major focus of this book is system integration. Many engineers can implement individual models or algorithms, but struggle when combining them into a stable robotic system. This book addresses that gap directly. It explains how vision systems interact with navigation stacks, how sensor data is synchronized and fused, and how autonomous decision-making layers control robot behavior in real time. The emphasis is on building systems that function reliably under real-world constraints such as noise, latency, uncertainty, and dynamic obstacles.This book is designed for readers who want to build real capabilities in robotics and AI, including: AI and machine learning engineers transitioning into robotics and embodied systemsRobotics developers building autonomous navigation, mapping, or control systemsComputer vision engineers applying perception models in physical environmentsSoftware engineers learning ROS2 and real-time distributed robotics architectureResearchers and students who want practical implementation experience beyond theoryBuilders working on drones, autonomous vehicles, warehouse robots, or intelligent agentsEach concept in the book is grounded in implementation. Readers will not only understand how algorithms like convolutional neural networks, Kalman filters, or SLAM work, but also how they are deployed inside a functioning robotic architecture. The examples are designed to reflect real engineering workflows, where multiple subsystems must run concurrently and interact continuously.The book also emphasizes real-time system thinking. Robotics is not batch processing; it is continuous decision-making under strict timing constraints. A robot must process sensor streams, update its internal state, compute trajectories, and execute control signals without delay. This book teaches how to structure systems that meet those requirements using modular design and event-driven architectures.By the end of the book, readers will be able to design and build an intelligent robotic system capable of visual perception, sensor fusion, autonomous navigation, and adaptive decision-making. More importantly, they will understand how to move from writing individual algorithms to engineering complete autonomous systems that operate reliably in unpredictable environments.This is not a theoretical introduction to robotics. It is a practical engineering reference for building intelligent machines that function in the real Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. What if you could build an AI that thinks like a hacker. but works for you?In today's rapidly evolving cyber battlefield, traditional security methods are no longer enough. Attackers are automating, scaling, and adapting faster than ever before. To defend modern systems, you need more than tools-you need intelligence.Agentic AI for Ethical Hacking is your complete, hands-on guide to designing, building, and deploying autonomous AI agents capable of performing real-world penetration testing tasks with precision, speed, and strategic reasoning.This isn't theory. This is execution.Inside this powerful manual, you'll learn how to transform Large Language Models (LLMs) into goal-driven cybersecurity agents that can: Perform reconnaissance and map attack surfaces automaticallyExecute vulnerability scans and intelligently interpret resultsPlan and simulate exploitation paths in controlled environmentsCoordinate multi-agent red team operationsGenerate actionable insights for defensive security teamsFrom foundational concepts to advanced agent orchestration, this book walks you step-by-step through building AI-powered penetration testing systems that mirror the thinking process of elite security professionals.What Makes This Book Different?Unlike generic AI or cybersecurity books, this guide focuses on the intersection of both fields-where real innovation is happening.You won't just learn about AI or about ethical hacking. You'll learn how to engineer autonomous systems that actively perform security operations.With real-world examples, production-ready Python code, and practical workflows, you'll master: Agent architecture (single-agent and multi-agent systems)Reasoning loops (ReAct pattern: Reason + Act)Memory, planning, and decision-making in AI agentsIntegration with tools like Nmap, OpenVAS, and OSINT frameworksBuilding safe, sandboxed environments using Docker and VMsDesigning ethical guardrails and compliance-aware AI systemsWho This Book Is ForCybersecurity analysts and penetration testersAI engineers and machine learning practitionersDevOps and cloud security engineersRed teamers and blue teamersDevelopers entering the world of AI-driven securityIf you understand Python and basic cybersecurity concepts, this book will take you to the next level of modern security engineering.Built with Ethics at the CorePower without control is dangerous.That's why this book places a strong emphasis on: Rules of Engagement (RoE)Legal and compliance frameworksSafe execution environmentsHuman-in-the-loop systemsAI guardrails to prevent misuseYou'll not only learn how to build powerful agents-but how to build them responsibly.The Future Is Autonomous-Are You Ready?The cybersecurity industry is shifting from manual operations to continuous, AI-driven security validation. Organizations that adopt agentic systems will outpace those that rely on static defenses.This book equips you with the tools, mindset, and architecture needed to: Stay ahead of automated threatsBuild intelligent security systemsTransition from operator to architectIf You Want to: Automate penetration testing workflowsBuild AI agents that think and act independentlyCombine LLMs with real-world security toolsFuture-proof your cybersecurity skillsThen this book is not optional-it's essential.Start building the next generation of ethical hacking systems today.< Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Robotics is no longer confined to research laboratories and large manufacturing facilities. It powers autonomous vehicles, industrial automation systems, smart devices, robotic arms, mobile robots, drones, and countless embedded applications that shape modern technology. Behind every successful robotic system lies a foundation of embedded engineering, real-time control, hardware programming, and intelligent system design.Embedded Robotics Engineering is a practical and comprehensive guide designed to help you build that foundation from the ground up.Whether your goal is to develop autonomous robots, master embedded programming, improve your understanding of control systems, or transition into robotics engineering professionally, this book provides the knowledge and practical skills needed to design, program, and deploy real robotic systems.Unlike books that focus heavily on theory without showing how systems are actually built, this guide bridges the gap between engineering concepts and practical implementation. Every chapter is written with a strong emphasis on real-world applications, helping you understand not only how robotic systems work but also how professional engineers develop them.Inside these pages, you will learn how microcontrollers interact with sensors, actuators, motors, and communication networks to create intelligent robotic platforms. You will gain a clear understanding of real-time computing, embedded software architecture, motor control systems, feedback mechanisms, and industrial communication technologies that drive modern robotics.You will also move beyond individual components and discover how complete robotic systems are engineered, integrated, tested, and optimized.What You Will LearnAdvanced embedded systems architecture and design principles.Memory management and processing constraints in embedded environments.Real-time computing concepts and deterministic system behavior.Embedded programming using C and C++ for hardware applications.Real-Time Operating Systems (RTOS) and task scheduling techniques.Interrupt handling and timer-based system design.PWM generation and motor control fundamentals.Speed regulation and position control strategies.Open-loop and closed-loop control systems.PID control implementation and tuning methods.UART, I2C, and SPI communication protocols.CAN Bus communication and industrial networking concepts.Robotic arm development and joint control systems.Practical Learning Through Real CodeThis book goes beyond explanations and includes numerous code examples written in C and C++, demonstrating how embedded robotics concepts are implemented in actual systems.You will learn how to: Interface sensors and actuators with microcontrollers.Develop interrupt-driven applications.Configure timers and PWM modules.Build communication interfaces.Implement feedback control systems.Develop motor control software.Create robotic navigation routines.Design embedded software architectures for robotics projects.Each example is accompanied by detailed explanations that help you understand the reasoning behind the implementation, making it easier to adapt the concepts to your own projects.Build the Skills That Modern Robotics DemandsThe demand for robotics and automation expertise continues to grow across manufacturing, logistics, healthcare, transportation, agriculture, defense, research, and consumer technology. Organizations need engineers and developers who can understand both software and hardware and who can integrate these disciplines into reliable, intelligent systems.Start building the foundation Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Robotics Foundations with Python is a practical, structured guide to understanding how real robotic systems are built, programmed, and controlled. It takes you from the core principles of robotics to fully integrated systems where software, electronics, sensors, and motors work together in real time.Unlike theory-heavy textbooks that stay abstract, this book focuses on hands-on understanding. Every concept is tied to how robots actually behave in physical environments, showing you how data flows from sensors into code and then into motor actions. Python is used as the main programming language to make robotics logic clear, readable, and easy to apply.You will learn how robots think and respond: how they detect obstacles, follow paths, interpret sensor signals, and execute movement decisions. Along the way, you also gain a strong foundation in electronics, microcontrollers, and system integration, which are essential skills for modern robotics development.What makes this book valuable is its focus on real engineering structure. It does not treat robotics as separate topics but as a connected system where each part affects the others. This approach prepares you for real-world robotics work where debugging, integration, and system stability matter as much as coding.What You Will LearnHow robots are structured from sensing to actuationPython programming techniques for robotics systemsCore electronics principles such as voltage, current, and resistanceHow sensors like ultrasonic, infrared, and motion detectors work in practiceHow microcontrollers like Arduino and Raspberry Pi control robotic systemsHow motors and motor drivers translate code into movementHow to build practical robotics systems like obstacle avoidance and line-following robotsHow to debug and troubleshoot both hardware and software issues in robotics projectsHow to integrate all components into a complete working robotic systemWho This Book Is ForThis book is designed for beginners who want a clear and structured introduction to robotics without confusion or unnecessary complexity. It is ideal for students in engineering, computer science, and technical fields who want practical exposure to real-world robotics systems. It also serves Python developers who want to move into hardware programming and embedded systems. Electronics enthusiasts who want to progress from basic circuits into intelligent machines will also benefit greatly. Additionally, it provides a strong foundation for anyone preparing for advanced robotics, automation, or autonomous systems development.What You Gain From Reading This BookBy the end of this book, you will have a solid understanding of how robotics systems are designed and implemented from the ground up. You will be able to build working robotic systems that combine sensors, motors, and control logic into a single functioning machine. You will also develop the ability to debug both hardware and software issues, a critical skill in real-world robotics engineering.Most importantly, you will gain the confidence to move beyond beginner projects and start thinking like a robotics engineer who understands not just how to write code, but how to design systems that interact with the physical world in a reliable and intelligent way.If your goal is to build real robots that move, sense, and respond to their environment, this book gives you the foundation to start building with clarity and direction. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. Neuware.

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

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

Paperback. Condition: new. Paperback. Turn Inventory Into Profit-Not a Hidden CostInventory is one of the most powerful assets in any product-based business-yet it is also one of the most mismanaged. Too much stock ties up your cash and erodes profit. Too little leads to lost sales, unhappy customers, and constant operational stress.Smart Inventory Management by Solomon Daven gives you the clarity, systems, and practical tools to take full control of your inventory-whether you're just starting out or managing a growing operation.This is not a theory-heavy textbook. It's a practical, step-by-step playbook designed to help you make smarter decisions, reduce waste, and run a more efficient, profitable business.Inside This Book, You'll Discover How To: Eliminate stockouts without overstockingFree up cash trapped in slow-moving inventoryAccurately forecast demand-even in uncertain marketsApply powerful models like EOQ, ABC Analysis, and Reorder Point with easeCalculate the exact stock levels your business actually needsOrganize your warehouse for speed, accuracy, and efficiencyUse modern tools (barcode, RFID, inventory software) to gain real-time controlIdentify and eliminate dead stock before it drains your profitImprove inventory turnover and overall business performanceBuild a scalable inventory system that grows with your businessWhy This Book Stands OutMost inventory books either overwhelm you with theory or give generic advice. This book bridges the gap.Clear explanations without unnecessary complexityReal-world examples you can apply immediatelyProven strategies used in retail, manufacturing, and e-commerceA complete system-from basics to advanced optimizationWho This Book Is ForEntrepreneurs and small business ownersWarehouse and operations managersSupply chain and logistics professionalsE-commerce sellers and retailersStudents and anyone looking to build real-world inventory skillsIn a world where supply chains are unpredictable and customer expectations are higher than ever, inventory management is no longer just an operational task-it's a core driver of profitability and growth.Those who master it win. Those who ignore it pay for it.Take control of your inventory. Reduce costs. Improve cash flow. And build a smarter, more resilient business-starting today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Software engineering is changing faster than most developers realize.We are entering an era where writing code is no longer just about syntax, frameworks, and debugging line by line. The future belongs to engineers who can design intelligent systems that reason, plan, use tools, execute tasks autonomously, and continuously improve with minimal human intervention.That future is already here.Autonomous Software Engineering with Claude Code is your practical guide to building the next generation of software systems powered by AI agents, autonomous workflows, and intelligent automation.This is not another beginner-level AI book filled with hype, vague concepts, or shallow tutorials.This book takes you deep into the real engineering principles behind building production-ready AI systems using Claude Code-from foundational architecture to advanced deployment strategies used in modern AI-native applications.Inside this book, you will learn how to move beyond simple prompting and start building systems that can think, plan, remember, coordinate tools, and execute complex software tasks with increasing autonomy.Inside this book, you will learn how to: Build real-world AI applications using Claude CodeDesign intelligent agents capable of reasoning and multi-step executionIntegrate APIs, external tools, and function-calling workflowsEngineer persistent memory systems for contextual intelligenceBuild multi-agent architectures for complex task orchestrationCreate scalable automation pipelines for production environmentsTest, debug, monitor, and secure autonomous AI systemsDeploy AI-powered software that performs reliably at scaleThis book combines theory with hands-on implementation, giving you practical explanations, architectural diagrams, production strategies, and code walkthroughs that help you understand not just what to build-but why modern autonomous systems are designed the way they are.Who This Book Is ForSoftware engineers who want to integrate AI into real-world productsAI engineers building production-ready agent systemsBackend developers exploring autonomous workflows and automationTechnical founders creating AI-native startupsDevOps and infrastructure engineers working on AI deployment pipelinesExperienced developers transitioning into AI engineeringAdvanced learners who want practical, production-focused knowledgeIf you already know basic programming and want to understand where software engineering is heading, this book was written for you.Why This Book Is DifferentMost books stop at prompts.This book goes far beyond prompting.You will learn how autonomous engineering actually works in production-from planning and orchestration to tool usage, memory management, observability, safety guardrails, and scalable deployment.You won't just learn how to use AI.You'll learn how to engineer with it.The rise of autonomous systems is redefining software development. Engineers who understand this shift will build faster, solve harder problems, and create systems that were impossible just a few years ago.The question is no longer whether AI will change software engineering.It already has.Will you learn to build the future-or struggle to catch up with it?Start your voyage into autonomous software engineering today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.