Books

Build real-world systems software with Tcl/Tk, from your first installation to production-ready deployment. Learn to create command-line tools, desktop apps, network services and automation frameworks that run across Windows, macOS and Linux. Practical code and clear explanations take you from foundation to confident deployment.

Java is entering a new era of faster releases, modern JVMs and evolving enterprise demands. This practical guide helps architects, platform engineers and senior developers navigate LTS upgrades, modernization, migration, performance, security and cloud deployment with clear strategies and production-ready guidance.

Scraping is getting harder to control as bots become more sophisticated. This practical guide shows security engineers, SREs and platform architects how to build anti-scraping defenses that work at scale, from traffic analysis and behavioral detection to rate limiting, challenges, observability and continuous adaptation.

Build production-ready applications with TypeScript in the age of AI. Go beyond the basics to master type-safe development, modern full-stack architectures, LLMs, intelligent agents, tool calling and the Model Context Protocol. With practical, runnable examples throughout, this book shows you how to build, test, secure and deploy serious TypeScript AI systems.

Build more than web apps. Learn how Elixir and Phoenix work under the hood, from BEAM fundamentals and concurrency to LiveView, fault tolerance, testing and production deployment. With practical examples that grow into realistic systems, this book shows you how to build web applications that stay fast, resilient and ready to scale.

Take your Delphi skills beyond the basics and learn how to build real-world web applications with DMVCFramework. From your first REST API to secure, scalable services, this practical guide covers the tools, patterns and techniques you need to build, test and deploy production-ready applications with confidence.

Why is your system slow, and how do you know what to fix? This practical guide takes you from CPU and memory behavior to databases, networks and distributed systems. Learn how to profile, benchmark and diagnose real performance problems with working examples across modern languages and tools.

What happens when scale, dependencies, compliance, governance and AI all press on your delivery system at once. Written from 25+ teams building FedRAMP-authorised government software.

Build robust web applications and REST APIs with Haskell and Servant. This practical guide takes you from core Haskell concepts to type-safe API design, PostgreSQL, JWT authentication, testing and deployment. Along the way, you’ll build a complete versioned API using patterns that make real-world Servant projects reliable and maintainable.

An Advanced Engineering Reference for GPU Architecture, Low-Level Optimization, and High-Performance ComputingModern GPU programming requires more than exposing parallel work to thousands of threads. It demands an understanding of the relationship between hardware architecture, instruction execution, memory movement, synchronization, and the software systems that coordinate computation across multiple GPUs. Mastering NVIDIA CUDA: Expert GPU Programming is a 100-chapter technical reference for experienced developers, high-performance computing engineers, researchers, and AI systems architects.

Cut through the noise of modern JavaScript tooling. This hands-on guide shows how Node.js, Bun, pnpm, Vite, TypeScript, Biome, Vitest and more fit together in real production workflows. Learn what each tool solves, when to use it and how to build faster, cleaner and more reliable applications in 2026.

Modern Fortran is still powering some of the world's toughest scientific problems. This practical guide takes you from the basics to high-performance computing, covering modern language features, parallel programming, numerical reliability and optimization. Learn to write scientific software that is clean, fast and built to last.

Build AI that keeps working when the cloud doesn't. Local-First AI Engineering shows you how to run capable, private AI systems on infrastructure you control. From hardware and inference to RAG, agents, security and production ops, you'll learn how to build local AI that is fast, reliable and truly yours.

Some bugs refuse to die. They hide for years, disappear when you look for them and surface only when the conditions are just wrong. Debugging the Impossible shows you how to hunt them down systematically, uncover what is really happening and fix the root cause for good, using practical techniques, runnable code and lessons from real-world failures.

Go beyond writing code and learn what it takes to build software that lasts. Fundamentals of Software Engineering walks you through requirements, architecture, testing, deployment and production using practical trade-offs and a real-world case study. Follow TaskFlow from its first requirement to a system built to scale, evolve and survive the real world.