Computers and Programming

Want to run Windows applications on Linux without the overhead of a virtual machine? Mastering WineHQ shows you how to install, configure and get the most out of Wine. From everyday applications to demanding games, this practical guide covers the tools, techniques and troubleshooting skills you need to make Windows software work on Linux.

Ever wondered what really happens when text appears on your screen? From character encoding and font files to rendering engines and operating system internals, this book uncovers the technology behind digital typography. Explore how Windows, Linux and macOS turn raw text into readable pixels, with practical insights for developers, engineers and designers.

Learn to build, send, capture and analyze network packets with Scapy, one of Python’s most versatile networking tools. Through practical examples and runnable code, you’ll explore protocols, traffic analysis, PCAP files, custom packet creation and security testing. Whether you’re troubleshooting networks or sharpening your security skills, this book gives you the tools to get hands-on.

You know how to build classes in Protégé. But do you know when to attach meaning — and when to wait?Volume 4 of "Mastering Ontology Engineering" introduces SKDL: the Semantic Knowledge Development Lifecycle. Seven stages. One discipline. Zero guesswork.From Aristotle to Description Logic. From taxonomy to executable knowledge.This is where pizza -> philosophy — and philosophy -> engineering.

You tried AI tools. They're fast. And you're still doing all the work — just in a chat window.

A production crisis. Three developers. Fifty cinematic comic lessons. Master Java threads, race conditions, synchronization, and deadlocks through an unforgettable manga-style adventure.

Your AI coding agent starts every session knowing nothing about your project, so it guesses - and the guess is sometimes expensive. The AGENTS.md Cookbook shows you how to write short, specific rules files, how to test them with a simple before-and-after method, and includes twelve ready-to-adapt recipes for real project types, labeled honestly about what has and has not been tested.

Stop memorizing SQL answers. Start solving real problems.Master 42 practical SQL challenges with tested queries, clear explanations, and hands-on exercises designed to build confidence for technical interviews.

A practical guide to numerical methods for the Cahn–Hilliard equation in alloy design—matrix and spectral schemes, quasi-steady reductions, and matrix exponentials—tested on spinodal benchmarks and illustrated with codes for binary and multicomponent systems.

A practical 30-day plan that turns complete beginners into confident, responsible users of AI coding assistants.Learn how to set clear goals, build a small project, debug with purpose, use Git, write better code, and present your work — all while using AI as a learning partner, not a crutch.

Stop getting stuck in manual regression cycles and learn to engineer zero-touch automation pipelines. In 30 days, go from Manual QA to SDET by building a production-grade test framework from scratch with Playwright, TypeScript, and GitHub Actions—complete with a live portfolio report for hiring managers.

From Raw Model Weights to High-Performance C++20 and CUDA ExecutionModern large language models are only as efficient as the systems that execute them. Behind every generated token lies a complex interaction between model architecture, memory bandwidth, numerical precision, parallel computation, kernel execution, and runtime orchestration. Understanding these interactions is essential for engineers who want to move beyond high-level inference frameworks and build systems whose performance, architecture, and execution behavior they can control directly.