Dan Eluan (74 results)

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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: As New. Unread book in perfect condition.

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Taschenbuch. Condition: Neu. Neuware - Want a professional website you actually control, without hiring a developer or learning to code Most beginners who try Joomla hit the same wall. They install it, log in, stare at the administrator dashboard, and have no idea what to click first. Categories, articles, menus, modules, templates, extensions: the pieces are all there, but nothing explains how they fit together. The official documentation assumes you already know the vocabulary, the forum answers are written for experts, and almost every Joomla book on the market covers a version that is years out of date.This book fixes that.Joomla Made Easy takes you from an empty hosting account to a live, secure, search-friendly website using the current version of Joomla. Every concept is explained in plain English, every task is broken into numbered steps, and every chapter builds directly on the one before it. You never have to guess what to do next.Inside, you will: - Install Joomla on real hosting or on your own computer, and fix the errors that trip up first-timers- Master the administrator dashboard, categories, articles, menus, and modules in the order that actually makes sense- Design your site's look using templates, colors, logos, and safe customization techniques- Extend your site with contact forms, member areas, galleries, and trustworthy add-ons- Protect everything you build with practical security, backups, and a recovery plan- Rank in search engines and load fast on mobile with proven SEO and performance settingsYou will also learn how to run a multilingual site, migrate from an older Joomla version or another platform, and follow a simple monthly maintenance routine that keeps your site healthy for years. The final section walks you through four complete real-world builds: a small business site, a blog, a portfolio, and a nonprofit or club site, so you can see every technique applied end to end.This is not a reference manual you flip through when something breaks. It is a structured course you can work through in a weekend, written by an author who has taught beginners exactly where they get stuck and what they need to hear to get unstuck. Screenshots are described in detail, terminology is defined the moment it appears, and a full troubleshooting appendix and glossary are included so you are never left searching for answers.Whether you are a small business owner, a freelancer, a nonprofit volunteer, a student, or simply someone who wants full ownership of their online presence, this guide gives you a website you understand from the inside out.Joomla is free, open source, and powerful enough to run sites for governments and universities. You do not need to be a developer to use it well. You just need the right starting point.Stop guessing your way through the dashboard. Grab your copy and build the website you have been putting off, starting today. …

Taschenbuch. Condition: Neu. Neuware - Does the phrase 'segmentation fault' make your stomach drop You're not alone. Memory management is the single biggest reason new programmers give up on C++. Every tutorial assumes you already understand pointers. Every forum answer uses jargon nobody explained to you first. You copy-paste code that works, but you have no idea why it works - or why it sometimes crashes without warning.That confusion ends here.C++ Memory Management for Beginners was written for the reader every other memory management book forgot: someone who is new to C++ and just wants a clear, patient explanation of how memory actually works. No assumed prior knowledge. No jumping straight into advanced allocator design. Just a steady, logical path from 'what is a pointer ' to writing code that doesn't leak, crash, or corrupt itself.You'll build your understanding one solid layer at a time - starting with how your computer stores data, moving through the stack and the heap, and finally arriving at modern tools like smart pointers that make memory safety almost automatic. Each concept is explained in plain English first, then reinforced with simple, real code you can run and modify yourself.Inside, you'll discover how to: - Understand pointers and addresses without the confusing jargon that scares beginners away- Tell the difference between stack and heap memory - and know exactly when to use each one- Track down and fix memory leaks before they turn into mysterious production bugs- Avoid dangling pointers and use-after-free errors that even experienced developers still make- Use unique_ptr and shared_ptr to manage memory safely, the modern way- Debug real memory crashes using a calm, repeatable troubleshooting processBy the end of this book, memory won't feel like a minefield anymore. You'll read pointer syntax and actually understand it. You'll recognize risky code before you ship it. And you'll have the foundation every serious C++ developer needs - the one most beginner books skip entirely.Written in clear, encouraging language and built around hands-on examples rather than dense theory, this guide respects where you're starting from while taking your skills seriously. Whether you're a self-taught programmer, a student, or someone switching into systems programming, this is the beginner-friendly deep dive on memory that the C++ world has been missing.Stop fearing the heap. Start understanding it.Your foundation in C++ memory management starts on the very first page - turn it and begin.…

Taschenbuch. Condition: Neu. Neuware - Do you actually know what happens inside your microcontroller - or are you just trusting a library to figure it out Most embedded developers rely on abstraction layers, pre-written drivers, and Arduino-style wrappers to get things done. Those tools have their place, but they also hide what is really happening beneath the surface. When something breaks at 3 a.m. in a shipped product, when your PWM signal glitches under load, when your UART drops bytes at high baud rates - you need more than a library call to fix it. You need to understand the hardware.AVR Register Level Programming is the book that takes you beneath the abstraction. Written for engineers, students, and serious makers who are ready to stop being passengers on their own hardware, this guide walks you through every key peripheral of the AVR architecture using direct register access, real C code, and zero hand-waving.This is not theory. This is the real way embedded systems work.Inside, you will discover: - How to configure GPIO, timers, UART, SPI, I2C, and ADC directly through hardware registers - no external libraries required- The complete timer system - Normal mode, CTC, Fast PWM, and Phase-Correct PWM - with full prescaler calculations and working waveform code- PWM generation from scratch, including audio synthesis, DC motor speed control, and dead-band insertion for H-bridge protection- Interrupt-driven UART buffering using circular ring buffers and three interrupt vectors - transmit, receive, and data register empty- A complete bare-metal toolchain from scratch: avr-gcc, avrdude, and Makefiles - no IDE required, no hidden build steps- Appendices, quick-reference register tables, and a full embedded systems glossary built into the book for immediate on-the-job useEvery chapter is built around a single concept, explained from the datasheet up. You will learn how to read a register description, translate it into clean C code, and verify the result - building the kind of deep hardware intuition that separates confident firmware engineers from everyone else.Whether you are debugging a timing-sensitive driver, optimizing an IoT sensor node for ultra-low power, or simply tired of not understanding what your code is actually doing - this book gives you the foundation to work at the level where real control lives.No prior assembly experience required. Basic C knowledge and curiosity about how hardware actually works are all you need to get started.Stop depending on black-box libraries - own your hardware completely, and grab your copy today.…

Taschenbuch. Condition: Neu. Neuware - Are you building distributed storage systems that quietly fall apart under load - hot spots silently choking throughput, nodes drowning in uneven data, and rebalancing jobs that cost more than they save Most engineers learn chunk management the hard way: by debugging a production cluster at 2 AM, watching data nodes tip into overload while others sit idle. The theory is buried in academic papers. The real implementation details are scattered across changelog entries and closed-source systems. What's missing is a single, coherent resource that takes you from first principles to production-ready implementation - covering not just what chunks are, but how to place, replicate, monitor, tune, and rebalance them at scale.Chunk Management and Balancing is the definitive technical guide for storage engineers, distributed systems developers, and infrastructure architects who need to design and operate chunk-based storage systems that perform reliably under pressure. Whether you're working with HDFS, GFS-inspired architectures, Ceph, or building your own chunk server from scratch, this book gives you the mental models, algorithms, and practical techniques to get it right.Inside, you will find: - Deep architecture breakdowns of GFS, HDFS, and Ceph - covering chunk placement, master tracking, heartbeat protocols, and replica coordination- Load rebalancing algorithms explained from theory to code - centralized, distributed, incremental, and bulk strategies with real migration cost analysis- Chunk size optimization frameworks that help you find the right balance between compression efficiency and access granularity for your specific workload- Fault tolerance patterns for node failure detection, re-replication pipelines, split-brain prevention, and disaster recovery- Capacity management strategies to prevent storage deadlock, enforce tenant quotas, and implement hot/warm/cold tiering- A hands-on final chapter walking you through building a minimal chunk server in Go - complete with a rebalancing daemon and failure simulation harnessThis book draws on real system design principles from production-grade distributed storage - the same concepts underlying the infrastructure that powers cloud platforms serving billions of users daily. Every chapter pairs conceptual depth with operational guidance so you can apply what you learn immediately.Stop guessing your way through chunk management - grab your copy and build storage systems that scale without breaking.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - What if the framework powering millions of Java applications worldwide was also the easiest way to start your coding career Spring Boot has a reputation problem: developers assume it's only for seasoned engineers working at big tech companies. Meanwhile, beginners keep bouncing between outdated tutorials, YouTube videos covering Spring Boot 2, and documentation written for people who already know what a 'bean' is. You want to build real applications, not just memorize syntax - but every resource you find seems to skip the part where things actually make sense.This book was written to fix that.Spring Boot 4 For Beginners takes you from 'I've never touched Java' to confidently building and deploying working web applications and REST APIs - using the newest version of the framework, not a three-year-old one. You'll learn the real reasoning behind dependency injection, REST design, and application architecture, explained the way a patient mentor would explain it, not the way a reference manual would.Here's what's waiting inside: - Set up your environment and create your first Spring Boot 4 project in minutes, no prior Java experience assumed- Understand dependency injection and inversion of control through plain-language explanations and hands-on examples, not abstract theory- Build real REST APIs step by step, including a complete bookstore API project you'll build from scratch- Connect to databases using Spring Data JPA without drowning in configuration- Secure your applications with authentication, authorization, and modern security practices- Prepare for production with testing, observability, Docker packaging, and even GraalVM native imagesThis guide covers what's genuinely new in Spring Boot 4 and Spring Framework 7 - the modular architecture, JSpecify null safety, built-in API versioning, and HTTP service clients - so you're learning the framework as it exists today, not as it existed when your instructor learned it.Every chapter builds on the last, with hands-on projects that mirror what you'd actually build on the job: a task manager, a REST API, a secured application with real login functionality. By the end, you won't just understand Spring Boot - you'll have working code you built yourself to prove it.Written by a self-published technical author focused on giving beginners the clear, current, no-fluff resources that the big publishers are too slow to produce, this book respects your time and your intelligence in equal measure.Java development remains one of the most in-demand, highest-paying skills in software engineering - and Spring Boot is the framework most companies actually use to build it.Your future as a backend developer starts on page one - get your copy and start building today. …

Taschenbuch. Condition: Neu. Neuware - What if you could master real-time 3D graphics from the ground up - writing the same kinds of rendering systems that power professional game engines - using nothing but C++, SDL2, and OpenGL Most programmers who want to build their own games hit the same wall. They follow beginner tutorials that produce working results but never explain why the code works. They reach for high-level game engines and find that the most important details are hidden behind layers of abstraction they are never meant to touch. When they finally want to understand what a vertex buffer object is, how a shader pipeline actually executes on the GPU, or why a game loop must be structured in a specific way, they end up buried in fragmented documentation and outdated examples with no clear path forward. The gap between knowing some C++ and truly building a real-time renderer feels impossible to close.SDL2 and OpenGL Game Development was written to close that gap completely. This book takes you step by step through everything you need - from understanding the graphics hardware to writing your own GLSL shaders, managing real-time game state, handling audio and input, and shipping a fully playable game - all without relying on a high-level engine. You will learn how SDL2 ties together windowing, input, and audio with the power of the OpenGL rendering pipeline, and you will build every system from scratch so you genuinely understand the code you write. By the final chapter, you will have more than a finished game. You will have the deep, transferable knowledge of how real-time rendering actually works.Here is what you will find inside this book: - Set up your full development environment with SDL2, OpenGL, GLEW, and CMake across Windows, Linux, and macOS with clear, step-by-step instructions- Master the modern OpenGL graphics pipeline - understand VAOs, VBOs, index buffers, and write GLSL vertex and fragment shaders from first principles- Build both 2D and 3D rendering systems from scratch, including sprite batching, perspective cameras, and the Model-View-Projection matrix- Implement lighting, shadow mapping, and post-processing effects using custom shaders that run directly on the GPU- Design a complete, playable game with collision detection, entity-component architecture, audio mixing, and smooth frame-rate independent performanceThis book does not protect you from complexity - it walks you through it. Every chapter delivers real code and real explanations designed for programmers who want to understand the full stack, from the raw SDL2 context to the rendered frame on screen. Whether you are building games for fun, preparing for a career in graphics programming, or simply determined to stop using tools you do not fully understand, this is the guide you have been looking for.Stop borrowing someone else's engine - grab your copy today and build every system yourself, from the first vertex to the final frame. …

Taschenbuch. Condition: Neu. Neuware - Most statistics books make you feel like you need a PhD just to read the introduction. This one does the opposite.If you have ever stared at a p-value and wondered what it actually means, watched colleagues build probabilistic models and felt left out, or suspected that traditional statistics was leaving something important on the table - this book was written for you.Bayesian inference powers spam filters, clinical trials, A/B testing systems, and fraud detection models running at scale every single day. With Python libraries like PyMC 5 and ArviZ 1.0, it has never been more accessible to practitioners who can code but were never formally trained in statistics.This book teaches you Bayesian inference the way it should be taught - through clear explanations, runnable Python code, and real-world problems you can relate to immediately.No PhD required. No advanced calculus. No impenetrable equation blocks.Here is what you will master inside: - How Bayesian thinking differs from traditional statistics and why it produces more honest, actionable results- Bayes' theorem explained in plain English, visualized in Python, and applied to real problems including medical testing and spam classification- A complete Bayesian Python environment setup using PyMC 5, ArviZ 1.0, and JupyterLab - with a full troubleshooting guide- The probability distributions that appear in almost every real Bayesian model, with code and clear guidance on when to use each one- How to build models in PyMC from scratch, defining priors, likelihoods, and posteriors in readable Python you will understand line by line- MCMC sampling demystified through a from-scratch implementation you build yourself- Model diagnostics using trace plots, R-hat, effective sample size, and divergence checks - and how to fix what is broken- Bayesian linear regression, A/B testing, hierarchical models, and classification - all with full code and real-world scenarios- Three complete capstone projects covering customer churn prediction, time series forecasting, and clinical trial analysisEvery chapter closes with a hands-on mini-project that gives you something concrete to build, run, and keep.Whether you are a Python developer curious about probabilistic programming, a data analyst tired of significance thresholds, a bootcamp graduate who never got a proper statistics education, or a professional in healthcare, finance, or marketing who works with uncertain data every day - this book gives you the foundation to reason clearly and model honestly.If you are ready to build models that tell the truth about what they know and what they do not, and make decisions from data with genuine statistical integrity - your next step starts here.Grab your copy and start thinking like a Bayesian today.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - Are your web services slow, sluggish, and struggling under load - even when your hardware has plenty left to give The problem isn't your infrastructure. It's your architecture. When every request blocks a thread while waiting for a database, a file, or a downstream API, your service hits its ceiling fast. Response times climb. Users complain. You scale horizontally when you didn't need to. And no matter how many servers you add, the bottleneck follows you.Async Web Service Creation Handbook is the comprehensive, code-first guide that shows you exactly how to design, build, and ship non-blocking web services that stay fast under real load. Whether you're working in Python with FastAPI and asyncio, building Node.js microservices, or exploring Go's concurrency model, this book gives you the mental models and hands-on patterns to write async services the right way - from day one.This isn't a language tutorial or a shallow overview. It's a practical handbook for developers who are serious about performance, resilience, and maintainability in production.Inside, you'll find: - End-to-end async service construction - from event loop fundamentals and coroutine design to fully deployed, containerized APIs- Non-blocking database access - connection pooling, async ORM integration, and query patterns that don't stall your service under concurrency- Real-time communication - WebSocket handlers, server-sent events, and long-polling strategies built on async foundations- Resilience patterns - circuit breakers, retry logic, structured error propagation, graceful shutdown hooks, and dead letter queue handling- Observability and testing - distributed tracing with OpenTelemetry, async unit and integration testing, race condition detection, and event loop profilingWhat sets this book apart is its relentless focus on the whole pipeline - not just async syntax, but the architectural decisions, deployment patterns, and production trade-offs that determine whether your service thrives or collapses under traffic. Every chapter includes working code examples, ASCII flow diagrams, and step-by-step walkthroughs so concepts click immediately.You'll also go deep on advanced topics most books skip: backpressure in reactive streams, CQRS with async command handlers, event sourcing for stateful workflows, and orchestration tools like Temporal. By the time you finish, you'll know not just how to write async code, but when to reach for it, when to push work to a thread pool, and when async is the wrong tool entirely.This book is built for mid-level to senior backend developers who are tired of guessing and ready to engineer with confidence.Stop patching slow services with more servers - build them right the first time. Grab your copy and start writing web services that actually scale.…

Paperback. Condition: new. Paperback. Do you actually know what happens inside your microcontroller - or are you just trusting a library to figure it out?Most embedded developers rely on abstraction layers, pre-written drivers, and Arduino-style wrappers to get things done. Those tools have their place, but they also hide what is really happening beneath the surface. When something breaks at 3 a.m. in a shipped product, when your PWM signal glitches under load, when your UART drops bytes at high baud rates - you need more than a library call to fix it. You need to understand the hardware.AVR Register Level Programming is the book that takes you beneath the abstraction. Written for engineers, students, and serious makers who are ready to stop being passengers on their own hardware, this guide walks you through every key peripheral of the AVR architecture using direct register access, real C code, and zero hand-waving.This is not theory. This is the real way embedded systems work.Inside, you will discover: How to configure GPIO, timers, UART, SPI, I2C, and ADC directly through hardware registers - no external libraries requiredThe complete timer system - Normal mode, CTC, Fast PWM, and Phase-Correct PWM - with full prescaler calculations and working waveform codePWM generation from scratch, including audio synthesis, DC motor speed control, and dead-band insertion for H-bridge protectionInterrupt-driven UART buffering using circular ring buffers and three interrupt vectors - transmit, receive, and data register emptyA complete bare-metal toolchain from scratch: avr-gcc, avrdude, and Makefiles - no IDE required, no hidden build stepsAppendices, quick-reference register tables, and a full embedded systems glossary built into the book for immediate on-the-job useEvery chapter is built around a single concept, explained from the datasheet up. You will learn how to read a register description, translate it into clean C code, and verify the result - building the kind of deep hardware intuition that separates confident firmware engineers from everyone else.Whether you are debugging a timing-sensitive driver, optimizing an IoT sensor node for ultra-low power, or simply tired of not understanding what your code is actually doing - this book gives you the foundation to work at the level where real control lives.No prior assembly experience required. Basic C knowledge and curiosity about how hardware actually works are all you need to get started.Stop depending on black-box libraries - own your hardware completely, and grab your copy 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. What separates an embedded engineer who ships reliable firmware from one who spends nights chasing intermittent crashes?It is not how fast they can write code. It is whether they think in patterns. Most engineers who adopt an RTOS get the primitives - tasks, queues, semaphores, timers - but never receive the architectural blueprint for assembling them into software that is correct, maintainable, and timing-safe under real operating conditions.Your system still has priority inversions that only surface under load, stack overflows that appear in the field but never in the lab, timer callbacks that silently stall the entire scheduler, and a watchdog that proves nothing because it is kicked from a SysTick ISR. These are not beginner mistakes. They are the exact bugs that experienced engineers introduce when they apply RTOS primitives without a structural framework.Real Time Operating Systems Code Patterns gives you that framework. Sixteen chapters of battle-tested, production-grade patterns - from task architecture and scheduling strategy through multi-core synchronization, power management, and field-proof fault recovery - each explained with the mechanics of why the pattern works, not just how to paste it in. Every pattern comes with annotated C code targeting the FreeRTOS API and three graduated exercises to cement what you have learned.Inside this book you will find: Master task design: periodic, event-driven, gatekeeper, and state machine patterns that eliminate shared-state bugs plaguing monolithic superloop migrationsUnderstand scheduling rigorously: Rate Monotonic Analysis, Earliest Deadline First trade-offs, and aperiodic server patterns grounded in real WCET measurementsSynchronize without fear: mutexes with Priority Inheritance, Priority Ceiling Protocol emulation, spinlocks on dual-core targets, and event group barriers - with every pitfall named and solvedBuild resilient systems: multi-task liveness watchdogs, five-level fault escalation ladders, task restart supervisors, and HardFault capture that survives a field resetOptimize with data: windowed CPU profiling, context switch overhead measurement, cache-friendly struct layouts for Cortex-M7, and response-time analysis that turns schedulability into a verified claimScale and port cleanly: OSAL and BSP abstraction layers, FreeRTOS-to-Zephyr migration patterns, dual-bank OTA bootloaders, and multi-core SMP versus AMP architectural decisions for ESP32 and RP2040Written for engineers who already build embedded systems and want to build them better, this book bridges the gap between RTOS documentation and production firmware. Every pattern is derived from real failure modes in shipping products. The RTOS platform comparison appendix covering FreeRTOS, Zephyr, ThreadX, and RT-Thread, the 94-term glossary, and the three-page pattern quick-reference card ensure this is a resource you will return to throughout your engineering career - not just for your first RTOS project.Your firmware deserves an architecture it can grow into - grab your copy today and start building embedded systems that ship, hold up in the field, and scale with your product. 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. What separates a data scientist who truly understands their models from one who just runs them? The answer is probability.Most Python practitioners know how to call a function. Far fewer understand the mathematical reasoning behind it - why cross-entropy loss works, what a p-value actually measures, how Bayesian inference updates beliefs, or when the Central Limit Theorem applies and when it breaks down. Without that foundation, models become black boxes and results become unreliable guesses.Probability Theory with Python bridges that gap. This comprehensive guide teaches you to think probabilistically - to reason about uncertainty with precision, build models that honestly quantify what they do and do not know, and apply that reasoning to real data science problems from first principles.Inside this book, you will find: Master the foundations - from Kolmogorov's axioms and Bayes' theorem through conditional probability and combinatorics, building the mathematical vocabulary that every statistical method depends onUnderstand every major distribution - discrete and continuous, with rigorous derivations, Python implementations using NumPy and SciPy, and practical guidance on when each distribution fits and when it doesn'tGo beyond point estimates - learn how to work with full probability distributions, propagate uncertainty correctly, compute posterior predictive intervals, and interpret results in a way that is honest and actionableSimulate the world with Monte Carlo methods - including variance reduction techniques and a production-quality simulation engine validated against analytical resultsApply probability to real systems - four complete capstone projects model spam detection with Naive Bayes, stock price risk with Geometric Brownian Motion, epidemic spread with the stochastic SIR model, and A/B testing with Bayesian inferenceDemystify machine learning theory - understand why cross-entropy loss and softmax work, what mutual information reveals about features, how Markov chains power PageRank, and why the normal distribution appears everywhereSpanning eighteen chapters, the book covers the Law of Large Numbers, the Central Limit Theorem, Markov chains, information theory, stochastic processes including Brownian motion and Ornstein-Uhlenbeck, Bayesian inference with PyMC, hypothesis testing, power analysis, and permutation-based simulation methods. Each chapter includes worked Python code, original diagrams, and three progressive exercises.Written for Python developers, data scientists, machine learning engineers, quantitative analysts, and researchers who want more than surface-level intuition - this book demands no prior probability background beyond high-school mathematics, but does not shy away from the formulas and rigorous derivations that make concepts genuinely understood rather than merely memorised.Every formula is implemented. Every theorem is simulated. Every concept is connected to the code you already write.Stop treating probability as an afterthought. Open this book, run the code, and start reasoning about uncertainty the way every serious practitioner should. Your models - and your results - will never look the same. 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.