Books

This textbook accompanies a year-long Discrete Mathematics course for Computer Science and AI students, covering classical topics such as combinatorics, graph theory, probability, logic, and set theory. It emphasizes applications across computer science and complements the standard curriculum with advanced topics in each chapter.

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

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.

Eric Zimmerman's Tools are free, open-source, and widely taught around the world. This is the official manual for all of his command line and GUI tools.

This book not only helps you gain a deep understanding of crucial information security concepts, but also supercharges your preparation for the CISM exam through interactive practice questions, flashcards, and exam tips.

Learn the basic principles that govern how distributed systems work and how you can design your systems for increased performance, availability and scalability. Understand the basic algorithms and protocols used to solve the most common problems in the space of distributed systems.

The book provides a modern look at introductory Biostatistical concepts and the associated computational tools using the latest developments in computation and visualization in the R language environment. The book includes practical data analysis based on datasets that can be downloaded here: https://github.com/muschellij2/biostatmethods.

Introduction to Statistics for the Life and Biomedical Sciences is the 4th official OpenIntro book and has been written to be used in conjunction with a set of self-paced learning labs. These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language.

Start with no experience and build the skills to write modern C++ with confidence. From your first program to advanced C++26 features and professional software design, this guide explains every step with clear examples and practical insights. Learn it once, keep it as a reference for years.

Learn how modern LLM inference engines work by building one from scratch in Rust. From transformers and tokenization to KV caching, quantization, batching, and GPU optimization, this book combines theory, hands-on code, and performance engineering to help you create fast, production-ready AI systems.

A companion book for implementing Microsoft Dynamics 365 Business Central. Targeted end-users, super-users and administrators, this book covers many of the challenges you're faced when implementing a cloud-based ERP system. From setting up the system and creating the first company to user customizations and integration. Updated to 2026 Wave 1 v28.

What if AI could help you find flaws in software logic before they become costly bugs? This practical guide shows you how to use Claude Code alongside proven verification tools to test assumptions, uncover hidden issues and build confidence in your code. From first principles to production workflows, learn a smarter way to verify software with AI.

This book is for informed Linux enthusiasts—those who already know their way around Linux but are curious about how its internals fit together under the control of the Linux kernel. It's ideal for readers who want to understand what’s happening “under the hood” and interested to explore kernel programming through loadable kernel modules. If you've ever wondered how Linux works under the hood, this book is for you.

This third edition covers Rust 1.85 and the Rust 2024 Edition in full. The new chapters on concurrency, the 2024 edition migration, GPU computing, Go integration, and Linux kernel programming show where the Rust community has moved since the second edition, and where systems programming as a discipline is heading. You might be writing your first Rust function or your hundredth production service, but I hope this book makes the language feel less like a puzzle and more like a tool you are already familiar with. That was the only goal I had when I wrote it.

From "I know EVs exist" to "I know how this industry works", with no prior EV knowledge needed. The book the author wished he'd had in 2017.