Codeworkspress (7 results)

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Paperback. Condition: new. Paperback. Node.js: The Practical Handbook doesn't teach you Node.js the way the official docs do - it teaches you Node.js the way a senior engineer would grill you about it in a technical interview.Written by four educators from the CSE, Allied Branches, and AIML departments at BGIEM, this handbook walks through Node.js from first principles - the V8 engine, the event loop, modules, npm - straight through to building a real REST API with Express, handling errors properly, testing, logging, and deploying with PM2 and Docker.What sets it apart is Chapters 13 and 14: a dedicated deep dive into the trick questions interviewers actually ask about Node.js internals, and a chapter on the "common uncommon mistakes" that quietly sink otherwise strong candidates and codebases. Every chapter pairs a clear explanation with runnable code and the reasoning behind why it works - not just that it works.Whether you're a student preparing for placement interviews, a self-taught developer moving from the browser to the backend, or an engineer who wants to close the gaps in your Node.js fundamentals before your next interview, this book is built to get you past both the code and the conversation about the code.Inside you'll find: The event loop and async programming explained without hand-wavingCommonJS vs ES Modules, and when each one bites youFile systems, streams, and building a production-style REST APIError handling, debugging, logging, and testing patterns that hold up in real projectsDeployment basics with PM2 and DockerA full chapter of Node-specific interview trick questions, with answers 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. Every AI team eventually hits the same wall: individual agents work, but nothing coordinates them. One agent forgets what another already found. Nobody can see what the system decided or why. Costs spiral because five agents talk to each other more than they get anything done. "Agentic OS" has become the industry's label for the fix - and also one of the most loosely used terms in AI right now, applied to everything from a single well-marketed chatbot to genuine multi-agent infrastructure.This book replaces that confusion with a precise, buildable definition - and then builds one, in working Python, from the ground up.You'll start with a testable three-component definition of what actually qualifies as an Agentic OS, then work through the complete six-layer architecture: connections, tools, agents, orchestration, memory, and governance. From there, Part III takes you into a full hands-on build - a working Agentic OS using both local models (via Ollama) and API models (Claude and Groq) side by side, with a real mission control dashboard, versioned shared memory, a router agent, specialist agents, MCP tool integration, human-in-the-loop approval gates, and a working cost/latency/privacy framework for deciding which model powers which agent.Then it gets serious about production. You'll build real governance - spend caps, kill switches, and a tamper-evident, hash-chained audit trail - plus distributed tracing for debugging multi-agent failures, and concrete defenses against prompt injection, tool abuse, and data leakage between agents.Finally, four complete real-world projects put it all to work at four different scales: retrofitting a real production medical-report analyzer, a right-sized personal Agentic OS for solo developers, a team-scale system coordinating sales and engineering, and a full event-driven enterprise workflow orchestration build.What makes this book different: A precise, testable definition of "Agentic OS" - not marketing languageComplete working Python implementation, not pseudocode or slidewareDual-track local (Ollama) + API (Claude, Groq) models throughout, with a real cost/latency/privacy decision frameworkFull governance, observability, and security chapters - the layer most books skip entirelyFour real projects at four genuinely different scales, including an honest retrofit of a production systemEvery chapter closes with real-world fun facts and a Quick Check to test what actually stuckWhether you're a solo developer building your first coordinated agent system, an engineer retrofitting an existing tool, or an architect designing for a team or enterprise, this book gives you the complete, working blueprint - and the judgment to know how much of it your specific problem actually needs. 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. Node.js: The Practical Handbook doesn't teach you Node.js the way the official docs do - it teaches you Node.js the way a senior engineer would grill you about it in a technical interview.Written by four educators from the CSE, Allied Branches, and AIML departments at BGIEM, this handbook walks through Node.js from first principles - the V8 engine, the event loop, modules, npm - straight through to building a real REST API with Express, handling errors properly, testing, logging, and deploying with PM2 and Docker.What sets it apart is Chapters 13 and 14: a dedicated deep dive into the trick questions interviewers actually ask about Node.js internals, and a chapter on the "common uncommon mistakes" that quietly sink otherwise strong candidates and codebases. Every chapter pairs a clear explanation with runnable code and the reasoning behind why it works - not just that it works.Whether you're a student preparing for placement interviews, a self-taught developer moving from the browser to the backend, or an engineer who wants to close the gaps in your Node.js fundamentals before your next interview, this book is built to get you past both the code and the conversation about the code.Inside you'll find: The event loop and async programming explained without hand-wavingCommonJS vs ES Modules, and when each one bites youFile systems, streams, and building a production-style REST APIError handling, debugging, logging, and testing patterns that hold up in real projectsDeployment basics with PM2 and DockerA full chapter of Node-specific interview trick questions, with answers 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. Condition: new. Paperback. Every AI team eventually hits the same wall: individual agents work, but nothing coordinates them. One agent forgets what another already found. Nobody can see what the system decided or why. Costs spiral because five agents talk to each other more than they get anything done. "Agentic OS" has become the industry's label for the fix - and also one of the most loosely used terms in AI right now, applied to everything from a single well-marketed chatbot to genuine multi-agent infrastructure.This book replaces that confusion with a precise, buildable definition - and then builds one, in working Python, from the ground up.You'll start with a testable three-component definition of what actually qualifies as an Agentic OS, then work through the complete six-layer architecture: connections, tools, agents, orchestration, memory, and governance. From there, Part III takes you into a full hands-on build - a working Agentic OS using both local models (via Ollama) and API models (Claude and Groq) side by side, with a real mission control dashboard, versioned shared memory, a router agent, specialist agents, MCP tool integration, human-in-the-loop approval gates, and a working cost/latency/privacy framework for deciding which model powers which agent.Then it gets serious about production. You'll build real governance - spend caps, kill switches, and a tamper-evident, hash-chained audit trail - plus distributed tracing for debugging multi-agent failures, and concrete defenses against prompt injection, tool abuse, and data leakage between agents.Finally, four complete real-world projects put it all to work at four different scales: retrofitting a real production medical-report analyzer, a right-sized personal Agentic OS for solo developers, a team-scale system coordinating sales and engineering, and a full event-driven enterprise workflow orchestration build.What makes this book different: A precise, testable definition of "Agentic OS" - not marketing languageComplete working Python implementation, not pseudocode or slidewareDual-track local (Ollama) + API (Claude, Groq) models throughout, with a real cost/latency/privacy decision frameworkFull governance, observability, and security chapters - the layer most books skip entirelyFour real projects at four genuinely different scales, including an honest retrofit of a production systemEvery chapter closes with real-world fun facts and a Quick Check to test what actually stuckWhether you're a solo developer building your first coordinated agent system, an engineer retrofitting an existing tool, or an architect designing for a team or enterprise, this book gives you the complete, working blueprint - and the judgment to know how much of it your specific problem actually needs. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…