Books

Everything you really need to know in Machine Learning in a hundred pages.

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.

Build. Deploy. Scale.Take your Java skills to the cloud-native level with Hands-On Java with Kubernetes. From your first Spring Boot or Quarkus app to production-ready deployments with CI/CD, observability, and service mesh—you’ll learn by doing, not just reading. Ideal for developers who want to master Kubernetes without getting bogged down in YAML configuration.

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

First Principles in Scrum: The Definitive Guide to Agile Mastery First Principles in Scrum explores the deep foundations of Scrum and Agile, authored by Jeff Sutherland—Co-Creator of Scrum and a signatory of the Agile Manifesto. With a new chapter added every sprint, it now is the largest Agile resource ever compiled. Drawing on his background as a senior research scientist trained in radiation physics, Sutherland explains how principles from physics, biology, and neuroscience shape Scrum’s effectiveness. He also delves into the future of Agile, demonstrating how AI, when integrated with Scrum@Scale, can drive exponential productivity—projected to make teams 30-100 times more productive by 2030 . Whether you’re a CEO, manager, or practitioner, this series is essential reading. It’s a roadmap to mastering agility in a rapidly changing world, offering insights into how the iterative cycles of Agile mirror the adaptability of complex systems while embracing AI as a transformative force.

Most people think they are bad at math. In reality, they were never taught arithmetic properly.This book is a modern English edition of Arithmetic by Alexander P. Kiselev—the text that formed the backbone of mathematical education in Russia and USSR for over a century and helped produce generations of exceptionally strong mathematicians, scientists, and engineers.Unlike modern textbooks that prioritise shortcuts, visuals, and lowered expectations, Kiselev builds arithmetic logically, systematically, and rigorously. Every method is explained. Every operation has meaning. Exercises are carefully sequenced to develop real understanding—not rote pattern-following.This book does not promise “easy math”. It promises something better: clarity, confidence, and competence.Whether you are a student, a parent, a tutor, or an adult rebuilding fundamentals, this book will change how you understand arithmetic—and why so much later mathematics suddenly becomes easier.

The book highlights the significance of software in systems engineering and uses AI as a subject matter expert. It presents a comprehensive example that covers SysML modeling, including requirements, use cases, logical/ physical architecture, and parametric simulation. It then continues into software, leveraging AI's code generation capabilities to produce software including microcontroller, UI, and DMBS code. It introduces a variety of personas and agents that can help engineers communicate with AI about systems and software engineering. The book also introduces SysML v2, focusing on the new language model and exploring AI's ability to generate models via code generation. Perhaps most importantly, it provides a straightforward roadmap for hardware/software co-design, accelerated at every step by AI. Whether you're a systems or software engineer, or just interested in how to use AI for engineering, AI Assisted MBSE with SysML will prove to be a valuable guide.

This book aims to be the comprehensive manual for type-level programming. It's about getting you from here to there---from a competent Haskell programmer to one who convinces the compiler to do their work for them.

The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts from probability, statistical inference, linear regression and machine learning and R programming skills. Throughout the book we demonstrate how these can help you tackle real-world data analysis challenges.

The book is also available in paperback for $25. Paperback royalties go to OpenIntro (US-based nonprofit), and the optional Leanpub PDF contributions go to authors to fund their time on this book.

You don’t need massive compute or big-tech resources to build real AI. This hands-on guide shows you how to build and fine-tune your own small language model—from scratch—using accessible tools like Google Colab. Learn transformers step-by-step, train and align models on your own data, and deploy practical AI systems that run on consumer GPUs. If you’ve ever wondered “Can I build my own model?”—this book proves the answer is yes.

Modern networks like the Internet — explained as simply as possible — but no simpler.

Learn how to find interesting behaviour and flaws in JavaScript. Reading this book you will find the latest and greatest techniques for hacking JavaScript and generating XSS payloads. Includes ways to construct JavaScript using only +[]()! characters. Never heard of DOM Clobbering? This book has all the details.