Books

JSON succeeded not because it was better--XML had schemas, namespaces, and 10 years of tooling, but because it understood modularity in ways XML never could. This book deconstructs how a deliberately incomplete format defeated a comprehensive standard, then shows you the production patterns (JSON Schema, JSONB, MessagePack, versioning strategies) that make JSON systems scale from prototype to billions of requests.

Este é um guia dinâmico, prático e visual para o novo e surpreendente mundo da IA Generativa. É como uma versão estendida do vídeo viral do Henrik com o mesmo nome. Versão impressa: Capa comum e Capa dura estão disponíveis na Amazon. Use o site da Amazon do seu país (ex: Amazon.se para a Suécia) para minimizar o tempo e custo de envio.

Read the book, do the labs, and gain your CCNP/CCIE Automation certification.

STOP building fragile AI wrappers. START designing resilient AI systems. Lots of companies are trying to make their small AI experiments into big products, but they don't have a good plan. Engineers need a practical guide to build these new AI systems the right way - so they can handle scale, be reliable, and won't cost too much. This book is that guide. It explains how to design systems that use AI models. This book breaks down the architecture of real AI applications, like an AI-powered code editor or a smart learning app. It gives you a deep, practical look at the real-world challenges and solutions for building these systems. It discusses system design concepts for systems that use LLMs.

“Happily purchased. Handy to have these in one place. Thank you!” — Kent Beck “Excellent new thinking on Domain-Driven Design. It's full of real practical experience in getting the most value from domain modelling. Just like the Eric Evans' DDD book, this gives more insight each time you read it.” — Ian Russell

A first-of-its-kind crowdsourced Digital Forensics and Incident Response (DFIR) book by the Digital Forensics Discord Server members to share knowledge!

Lots of design token-related tips and tricks to learn in this book — from design tools to production, with an emphasis on the fact tools and automation are only useful if good communication is happening between designers and developers in the first place. -- @kaelig, Development acceleration at @Shopify -- Co-chair @DesignTokens

This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. (Printed copies coming soon!)

Learn how large language models work by building one from scratch. This hands-on guide walks you from first principles to a working Transformer you understand inside out.

Java has changed. Have your patterns kept up?The Gang of Four wrote their landmark patterns in 1994 — when Java didn't exist, generics were a decade away, and "concurrency" meant carefully managing a handful of platform threads. Thirty years later, Java 21 through 25 has transformed the language: records replace boilerplate classes, sealed interfaces model closed type hierarchies with compiler enforcement, pattern matching eliminates entire categories of unsafe casting, and virtual threads make a million concurrent tasks not just possible but routine.Modern Java Design Patterns bridges that gap. Every classic pattern is shown first in its original form, then systematically rebuilt with the language features that exist today. The result is code that is shorter, safer, more expressive, and immediately recognisable to any team working on a modern Java codebase.

Turn your engineering team into a force multiplier, not a bottleneck. This book gives current and aspiring engineering managers practical frameworks, questions, and examples for everything from one on ones and feedback to scaling teams and navigating crises.

Aprende los conceptos básicos del Machine Learning y avanza poco a poco con teoría y divertidos ejercicios prácticos en Python a niveles intermedios y avanzados hasta llegar al Deep Learning.Tu camino para convertirte en un Científico de Datos comienza aquí

This book starts with the basics of PowerShell and uses a step-by-step approach to build up to complex concepts. Whether you're a beginner or an experienced user, this book will help you become more proficient with PowerShell. By the time you finish this book, your skills will be as well-integrated as the seamless components in the cover artwork.

This is the story of Microsoft Windows, but told in a different way and from a different perspective. It is the story of the aspirations that Microsoft had for the platform over time. Object-Oriented Programming in the era of “Cairo.” The brief moment when the .NET craze engulfed the company. The touch-first mania of Windows 8. And so much more.

The loop writes code and clears context. The commit log records MAX_RETRIES = 3, but the reason it's three vanished on Friday night. The artifact survived; the decision evaporated.The Loop That Remembers inverts the premise: memory isn't the sixth piece, it's what the loop exists to produce. Two graphs, a promoted lattice, bounded context, and an evaluator checking claims against edges.