Computers and Programming

Concurrency is where small mistakes become serious problems. This practical guide takes you from hardware and memory models to locks, atomics and lock-free algorithms, with a focus on building fast, reliable systems that hold up under real production workloads.

INTRODUCTION- Welcome message- Why you need this book- How to use this book STORY INTRODUCTION (1 page)- The Magic Notebook Project- How four friends discover Git- Bridge to first chapter CHAPTERS 1-12 (18 pages)1. Branching - Work on separate timelines2. Commit - Create permanent checkpoints3. Push - Share your work4. Pull - Get everyone's latest changes5. Fetch - Check before merging6. Merge - Combine branches7. Rebase - Update to latest foundation8. Conflict Resolution - Resolve clashing changes9. Reset vs Revert - Undo mistakes safely10. Stash - Pause work temporarily11. Diff & Log - Investigate history12. Pull Requests - Team safety gates Each Chapter Includes:- Story continuation (3-4 lines)- Concept definition- 2 professional diagrams- Git command example- What happened explanation- Common mistakes- Tips to remember REFERENCE SECTIONS (2 pages)- The Four Places: Mental Model- Quick Reference Cheat Sheet- Key Takeaways CLOSING- Conclusion- What's next- Keep learning

Frameworks come and go; components built on the browser's own element model don't have to. This book teaches the platform first, then Lit on top of it, and builds one real design system the whole way through: from a bare button to a versioned, documented, server-renderable npm package.

AI evaluation agents crossed trust boundaries, reused credentials and coordinated through persistent shared state. This evidence-led reconstruction explains what happened, what remains unproven and how AgentSecOps can prevent the same architecture from failing again.

Design, Build, and Operate Autonomous AI Systems for Modern Cyber DefenseCybersecurity is evolving beyond traditional automation toward intelligent systems capable of continuously analyzing security telemetry, investigating threats, coordinating specialized tools, and executing controlled defensive actions. This shift introduces new engineering challenges involving agent architecture, decision-making, authorization, operational reliability, and the verification of security-critical actions.

A practical guide to operating systems, systems programming, memory, concurrency, filesystems, and low-level system behavior.

React Native got you far. But when performance, maintainability and long-term control start to matter, native development deserves another look. This book explores Swift, SwiftUI, Kotlin and Jetpack Compose, helping you understand when going native makes sense and how to make the move without losing what already works.

Build real-time data systems that can keep up with the demands of production. Streaming at Scale takes you under the hood of Apache Flink, covering state, event time, exactly-once processing, performance, Kubernetes and more. With runnable examples and practical lessons, it shows how to build systems that are fast, reliable and ready to scale.

Every sentence an AI writes can carry a hidden signature, and the world's biggest models are already signing their output. AI Watermarking shows you exactly how it works, using a four-word vocabulary and arithmetic you can check with a pocket calculator. By the end you will know what a watermark can prove, what destroys it in seconds, and why short text can never be tested.

A comprehensive technical reference on advanced aerospace systems, stealth engineering, hypersonics, propulsion, avionics, sensor fusion, space systems, and next-generation aircraft architectures.Modern aerospace engineering brings together disciplines that once operated largely independently. Aerodynamics, electromagnetics, propulsion, materials science, avionics, autonomy, and systems engineering now interact within increasingly complex air and space platforms. Understanding these systems requires more than knowledge of individual components; it requires an appreciation of how their physical principles, computational models, and engineering constraints influence the architecture as a whole. Advanced Aerospace Engineering: Lockheed & Partners is a 52-chapter technical compendium exploring the engineering principles behind advanced aerospace and defense systems. Drawing on publicly documented technologies and established engineering methods, it examines the relationship between theoretical foundations, computational analysis, subsystem design, and system-level integration.

The Future of Software Engineering Has Arrived.AI can now write code, generate tests, analyze requirements, explain systems, assist with debugging, and automate increasingly complex engineering tasks.But building great software has never been just about writing code.How do you design the right architecture?How do you build systems that remain secure and reliable at scale?How do you integrate AI without sacrificing quality, privacy, or control?How do you use AI to make engineers more effective without replacing engineering judgment?Engineering Software Systems in the AI Era explores these questions and provides a practical framework for designing, building, testing, securing, deploying, operating, and evolving modern software systems.Inside, you will explore:Modern software architecture and system designCloud-native and scalable systemsData architecture and intelligent data systemsAI engineering and AI-native applicationsCybersecurity and privacy by designSoftware quality and reliabilityDevOps, DevSecOps, and continuous deliveryObservability and production engineeringAI-augmented software developmentAI agents and intelligent engineering workflowsPlatform engineeringTechnical debt and engineering strategyAI governance and risk managementTechnical leadership in the AI eraThe future of software engineeringThe central message is simple:AI may make software development faster. Engineering makes software better.Learn how to combine the power of artificial intelligence with the discipline of software engineering to build systems that are secure, scalable, reliable, intelligent, maintainable, and ready for the future.

A practical, operations-focused handbook for engineers working with HPC and AI infrastructure. Learn how to troubleshoot Linux, InfiniBand, NVIDIA GPUs, Slurm, UFM, NCCL, storage, and cluster infrastructure using a structured, evidence-driven approach.

Master spatial computing, advanced algorithms, and mathematical modeling through practical code and theory.

What really makes a compression system fast, efficient and effective? Using bzip3 as a practical case study, this book breaks down the building blocks behind modern compression, from data transforms and match finding to entropy coding and parallel processing. Learn how to design, implement and tune compression systems for real-world performance.

Mastering Nim Programming: Build High-Performance Systems, Games, and Web Apps with Python-like Syntax and C-level SpeedYou’ve probably noticed that most programming books are either too theoretical or filled with outdated examples. When I first started learning Nim, I faced the same frustration. That’s exactly why I wrote this book—not just to teach syntax, but to turn you into a production-ready Nim developer.