Books

Build collaborative software that keeps working when the network does not. This practical guide takes you from distributed systems fundamentals to working CRDT implementations and production-ready collaboration. Learn how CRDTs work, where they fit and how to handle scaling, security, metadata growth and failure in real systems.

A minimalist guide to mental defragmentation. Pull the plug on adult complexity, reclaim your root access, and execute the ultimate command for your soul: del *.* /y

"You train the body every day. When was the last time you fed your soul?"We measure everything — steps, sleep, calories, progress — yet we almost never ask what the soul truly needs. We build strength, stamina, and appearance with relentless discipline, and leave the inner life entirely to chance.The result? A life that looks whole from the outside, but feels quietly empty within.This book is the reminder you have been waiting for: that the vessel was never the cargo. That stillness is not wasted time. That compassion, gratitude, and steadfast endurance are not soft luxuries — they are the very food your soul was made for. No retreat required, no special training needed. Just the willingness to begin, with minutes a day, tending to the part of you that will remain long after the body fades.

Multivariable calculus, classical optimization, vector calculus, and multiple integration — the four pillars every engineer leans on — are gathered here into one connected text instead of four separate modules. Starting with partial and total differentiation, Jacobians, and Taylor's series, the book builds outward into Lagrange multipliers, KKT conditions, Newton–Raphson and gradient descent, then into gradient, divergence, curl, and the great integral theorems of Green, Stokes, and Gauss. Every worked example is carried through in full, with no derivation shortened for brevity. Engineering applications run throughout each chapter, tying the math directly to real design problems. Written by Gangadharaiah YH, Ph.D., it's meant to serve equally as a first course and a lasting reference on the engineer's shelf.

Apprends à construire, tester et déployer ton propre bot de trading algorithmique sur l'or — de la stratégie au code.

Go beyond running MR code. Learn how to design, analyze, interpret, and report a Mendelian Randomization study—from GWAS data to a publication-ready manuscript. Built for graduate researchers in epidemiology, biostatistics, genetics, and public health.

Nine alien civilizations turn their advanced telescopes toward Earth, but the unforgiving speed of light means they each see a different, ancient chapter of our past. As they debate the extraordinary risks and costs of making contact, they must decide if our violent, beautiful world is truly worth the journey. Discover why the universe has evaluated humanity from the dark and chosen to watch in absolute silence.

The field manual for solo builders shipping products with autonomous AI agents. Real systems, real receipts, honest limits.

A cinematic, illustrated planner that helps you build a practical everyday carry setup and a fully prepared 72‑hour bug‑out bag tailored to your climate, environment, and household.

About the Book Running an LLM is one problem. Understanding its memory footprint, execution phases, and serving behavior is another.LLM Inference Engine Architecture explores the engineering behind language-model inference—from prefill and decode to KV-cache management, attention kernels, quantization, and request scheduling.Written for software engineers and ML engineers with a working knowledge of Python and transformer fundamentals, the book connects mathematical explanations with implementation examples and serving-system design considerations.What You Will ExploreInference fundamentals: Trace the request lifecycle and understand the different computational characteristics of prefill and decode.Memory budgeting: Work through model-weight and KV-cache estimates, including the effects of context length, KV-head count, precision, and concurrent sequences.Attention and memory management: Explore PagedAttention, non-contiguous KV allocation, and the relationship between attention computation and memory access.Quantization: Examine weight and KV-cache precision choices, including FP8 and low-bit weight-quantization approaches.Serving architecture: Study continuous batching, request scheduling, multi-GPU execution, and latency and throughput metrics.Kernel development: Explore CUDA and Triton concepts, kernel fusion, and a quantized matrix-multiplication case study.The book includes numerical examples, reference code, and an educational asynchronous serving simulator. These examples are intended to explain mechanisms and trade-offs—not to replace hardware-specific profiling or production validation.Read the sample to review the mathematical level, coding style, and scope before purchasing.

Build one real app, from the first ionic start to a signed release, with Ionic 9, Angular 22 and Capacitor 8. Every starter, build and test in this book was checked against the real toolchain, and the app's code along the way is waiting in a public repository.

Stop asking one giant prompt to carry your whole software system. Context Driven Development teaches you how to give AI coding agents explicit requirements, architecture decisions, constraints, tasks, and verification loops so they can work inside a reliable engineering environment.

Spring AI gives you one API for chat models, embeddings, vector stores and tools, and swaps the provider with a single property. This book teaches it by building: thirteen chapters, seventeen complete Spring Boot projects, and every program run on a free local model and on a paid cloud model before a word was written about it. Start chapter 1 with no account, no API key and no credit card.

Managed WordPress hosting is convenient until the bill grows or something breaks and you cannot see why. This book takes you from an empty AWS account to a secured, monitored, backed-up production site, with every command tested on a real server and every step explained. By the end you will know how to run it, protect it, restore it, and fix it at three in the morning.