Books

Learn CUDA programming from the ground up by understanding how GPUs really execute code. This book shows you how to write efficient kernels, optimize performance, and build high-performance applications for AI, scientific computing, image processing, and other demanding workloads on modern NVIDIA GPUs, including Blackwell.

Discover how Windows software really works with a practical guide to modern x64 assembly. From core concepts to advanced optimization, reverse engineering, and low-level systems programming, this book equips you with the knowledge to write fast, secure, and efficient code.

The value of a SaaS business is more than code and revenue. Domains, service accounts, social profiles, and infrastructure ownership matter too. A competitor claiming your brand on X is bad, but a malicious npm scope using your brand to ship harmful code to customers is far worse.

Software design is the last craft that never got standardized, so the same problem yields a different structure in every shop and every sprint. Process-First Design is the method for it: design around the process, not the entity, and the dozen small structural decisions you re-litigate every time become engineering, leaving your judgment for the architecture and the domain. One running example carries it from a single use case up to a multi-tenant platform.

This practical guide gives you the skills to write efficient, reliable, and scalable firmware for modern microcontrollers and connected devices. Designed for developers with a working knowledge of C++, this book bridges the gap between theory and applied embedded development.

Most organizations do not fail because they lack talent or tools, they fail because things stop flowing.This book offers a calm and practical way to see where movement breaks, and how to restore it without force.It is an invitation to lead by listening, rather than pushing.

An approachable introduction to electronics and radio that is not aimed at one or another specific type of audience, and which does not depend on an understanding of even high school math.

Major capital projects keep missing the mark—over budget, behind schedule and under-delivering. Why? Because we’re still using delivery models designed for a different era. Rethinking Capital Project Delivery offers a bold, practical roadmap for fixing what’s broken. It introduces a new approach built on adaptive planning, intelligent systems and transparent governance. Instead of managing complexity with more layers, it shows how agentic AI and modular strategies can simplify, accelerate, and de-risk major works. This book is for executives, project leaders, and policymakers ready to move beyond outdated practices. If you know the system isn’t working—and you want to be part of the solution—this is your guide.

Data analysis is now part of practically every research project in the life sciences. In this book we use data and computer code to teach the necessary statistical concepts and programming skills to become a data analyst. Instead of showing theory first and then applying it to toy examples, we start with actual applications and describe the theory as it becomes necessary to solve specific challenges. The book includes links to computer code that readers can use to follow along as they program.

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.

You don't need a graph database. You need graph thinking inside DuckDB. GraphDuck takes you from SQL adjacency lists to metagraphs, hypergraphs, and hybrid Graph RAG pipelines — all inside DuckDB. Learn to model knowledge graphs, build AI agent memory systems, run graph algorithms, and combine vector search with graph traversal in a single embedded database. Every concept comes with runnable code. No infrastructure required.

For both beginning and experienced programmers! From the author of the multi-award-winning Thinking in C++ and Thinking in Java and a Kotlin team member comes a book that breaks concepts into small, easy-to-digest "atoms," along with exercises supported by hints and solutions directly inside IntelliJ IDEA! Full support at www.AtomicKotlin.com.

This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.