Books

이 책은 컴포즈 컴파일러, 런타임, UI 레이어, 그리고 성능 튜닝에 이르기까지 컴포즈의 모든 것을 탐구합니다. Jetpack Compose의 내부 소스 코드를 한 줄 한 줄 읽어 내려가며 특정 설계가 왜 그렇게 결정되었는지 그 이면을 설명하고, 여러분이 매일 작성하는 코드를 내부 메커니즘과 연결해 줍니다. 이 책을 읽고 나면 컴파일러와 런타임, UI 계층의 동작 시스템이 머릿속에 완성될 것이고, 궁극적으로 여러분이 일상에서 작성하는 컴포즈 프로젝트의 성능을 크게 향상시킬 수 있습니다. 코스 (영문): Jetpack Compose Mechanisms | 하드커버 종이책 (영문) | ISBN-13: 9798185354780

Longitudinal Data Analysis Using R is a practical, end-to-end guide to longitudinal data analysis that helps you move from raw data to credible substantive conclusions. It tackles the real pain points researchers face in longitudinal analysis, such as data preparation, exploring change over time, model choice, missing data, and interpretation, using clear explanations, real-world data, and fully reproducible R code.

Ansible is a simple, but powerful, server and configuration management tool. Learn to use Ansible effectively, whether you manage one server—or thousands.

The first book to combine Eventmodeling & Eventsourcing to plan software systems of any size and complexity. NEW CHAPTER "Dynamic Consistency Boundary" COMPANION ONLINE COURSE FOR FASTER LEARNING

Jetpack Compose is the future of Android UI. Master how it works internally and become a more efficient developer with it. You'll also find it valuable if you are not an Android dev. This book provides all the details to understand how the Compose compiler & runtime work, and how to create a client library using them. You could also be interested on the Jetpack Compose Internals course by Jorge Castillo. Find it in composeinternals.com

“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

This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.

This book is packed with real-world use cases detailing how to use SuiteScript 2.0, Workflows, Searches, Advanced PDF templates and more to customize NetSuite to your business needs and master your ERP! It includes downloadable SuiteScript samples, and hundreds of index entries to put all the tips, tricks and snippets at your fingertips.

The deepest tutorial and explanation about EventStorming, straight from the inventor.

안드로이드 기술 면접에서 좋은 결과를 얻으려면 단순히 답을 외우는 것이 아니라, 개념을 올바르게 이해하고 실전에 적용해 보는 연습이 중요합니다. 이 책에서 다루는 108개의 면접 질문, 162개의 추가적인 실전 질문, 50개 이상의 Pro Tips를 통해 기술적 배경과 논리를 향상시킴으로써 실제 기술 면접의 대비뿐만 아니라, 안드로이드 생태계의 전반적인 지식을 학습하는데 큰 도움이 됩니다. 하드커버 에디션 (영문) | 페이퍼백 에디션 (영문) ISBN: 979-8285926436

Event-Driven Architecture with Spring Boot 4.x and Kafka 4.x is a hands-on, code-first guide to building resilient, scalable systems with real-world patterns like CQRS, event sourcing, sagas, outbox, idempotency, schema evolution, observability, and testing. Each chapter focuses on one concept and backs it with practical trade-offs, failure modes, and runnable Spring Boot projects you can clone and run today. If you want to move beyond buzzwords and actually ship event-driven systems that hold up in production, this book is for you.

본 책은 단순히 “코틀린을 어떻게 사용하는가”를 넘어, “코틀린이 실제로 어떻게 동작하는가”까지 안내합니다. 내부 구현을 들여다보고, 바이트코드와 컴파일러의 동작을 명확히 탐구하며, 언어를 형성하는 핵심 내부 구조를 파헤칩니다. 기초 문법부터 코루틴, 컴파일러에 이르기까지 더 깊이 이해하고, 더 자신 있게 코틀린 코드를 작성하고 싶은 분들께는 좋은 지침서가 될 것입니다. 특히, 우리가 일상에서 친숙하게 사용하던 모든 언어적인 형태가 왜 지금과 같은 형태로 설계되었는지를 탐구하며 사고의 깊이를 더할 수 있습니다. Hardcover | Paperback | ISBN: 979-8243872744 [Course] Practical Kotlin Deep Dive Course

A practical guide to product engineering in an AI native era, where building shifts from manual construction to steering tools, editors, and agents. Product Engineering with AI covers platforms, agentic workflows, prompting, code quality, UX, and responsible practices for getting from prototype to production. 

Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.

Using AI to code is easy. Using it without losing control — not so much.By week three, your project stops moving. The agent forgets decisions it made ten days ago. A change in auth breaks the dashboard. You spend more time re-explaining context than writing features. The code works, but only you know why — and you're not even sure you remember all of it.That's vibe coding hitting its ceiling.Spec-Driven Development is the method that replaces the chaos with a spec the AI actually executes. Not a ceremonial document. A working artifact: PRD, issues, tests, code — all traceable, all connected, all in the right order.This book shows you:How to grill your own idea before writing a single promptHow to write a PRD the AI won't misinterpretThe 7 phases that turn an idea into working softwareHow to use GitHub SpecKit and openSpec (and when not to)How to work this way in a team without slowing downThe 5 anti-patterns that destroy every spec22,000 words. 13 chapters. 5 appendices with ready-to-copy templates.No theory dumps. No filler. Just the method.