Software Engineering

Todos hemos oído hablar de la Web3, de las criptomonedas, de las cadenas de bloques (blockchains), de los NFT y de las DAO. Casi nadie sabe decir, con claridad, qué **es** en realidad cada una de esas cosas, ni si se trata del futuro de internet o de una manera elaborada de perder dinero. **El libro de la Web3** por fin le da una respuesta directa.

웹3, 암호화폐, 블록체인, NFT, 다오(DAO) — 못 들어 본 사람은 없다. 그러나 그것이 정확히 무엇**인지**, 인터넷의 미래인지 아니면 돈을 잃는 정교한 방법인지 분명하게 말할 수 있는 사람은 거의 없다. **『웹3란 무엇인가』**는 마침내 그 질문에 정면으로 답한다.

Learn how large language models work instead of relying on black-box APIs. Building Large Language Models from Scratch takes you through training a Transformer model in PyTorch, from raw text to a working inference API, covering tokenization, attention, distributed training, and alignment along the way.

Jetpack Compose is redefining Android UI development with a modern declarative approach. Mastering Jetpack Compose teaches you the fundamentals, advanced techniques, and production-ready patterns you need to build high-quality Android applications with confidence.

Most developers can build a web server with a framework. Far fewer understand what happens underneath. Rust from Sockets to Servers takes you from raw TCP sockets to a production-ready web server built in Rust, giving you a deep understanding of HTTP, async programming, TLS, routing, and the foundations behind every modern web application.

Unlock the full power of modern GPU programming with Mastering the Vulkan API. This practical guide helps intermediate C++ developers build high-performance graphics and compute applications through clear explanations, hands-on examples, and production-inspired best practices.

Complex systems demand better ways of working. SysML in Practice is a practical guide to Model-Based Systems Engineering, showing you how to use SysML to model, analyze, and manage complex systems with confidence. With clear explanations, real-world examples, and industry case studies, you'll gain the skills to apply MBSE effectively from your first system model to enterprise-scale engineering.

Modern Perl Programming is a practical guide to writing clean, maintainable Perl code. It covers the language from the fundamentals to object-oriented programming, regular expressions, databases, and web development with Mojolicious. Whether you are learning Perl for the first time or working with an existing codebase, this book will help you build reliable applications with confidence.

CQRS in Practice is a hands-on guide to designing scalable, maintainable software with Command Query Responsibility Segregation. Through practical examples and real-world insights, you'll learn when CQRS is the right choice, how to implement it effectively, and how to avoid the pitfalls of overly complex architectures.

Build beautiful, high-performance Apple Watch apps with confidence. From SwiftUI fundamentals and HealthKit integration to connectivity, complications, and App Store deployment, this practical guide teaches you everything you need to create fast, intuitive watchOS experiences that users will love wearing every day.

Build a production-grade BitTorrent client in Python from the ground up while exploring the protocols, networking concepts, and engineering decisions behind one of the internet's most successful peer-to-peer systems. From peer discovery to data transfer, you'll implement every major component and gain a practical understanding of how BitTorrent works in the real world.

Enterprise Retrieval-Augmented Generation with C# is a practical guide to building production-ready AI applications in the modern .NET ecosystem. Learn how to design scalable, secure, and high-performance RAG systems through real-world C# examples, proven architectures and enterprise best practices.

This practical guide shows you how to build production-ready speech recognition applications from the ground up. Learn how to use Voice Activity Detection, choose the right ASR models, build real-time inference pipelines, and deploy scalable systems with hands-on examples and modern open-source tools.

Build real-world AI applications with Python—not just demos. Learn LLM APIs, RAG, embeddings, vector search, AI agents, prompt engineering, security, deployment, and production-ready architectures through practical projects and expert guidance. Gain the skills to build, ship, and scale modern AI systems with confidence.

Ten C++ investigations into programs that compiled clean, ran perfectly, and still got the answer wrong. A forensic journey through the bugs that hide in plain sight.