Books

When his mother locks the door and never returns, nine-year-old Ramesh must turn a freezing Parramatta flat into a secret fortress of survival. Hiding his desperate reality in plain sight among his teachers and classmates, he learns that staying alive sometimes requires becoming completely invisible.

مرجع عربي متكامل يجمع صرامة المعايير الدولية بدقة الممارسة العملية في التحقيق الجنائي الرقمي، من حفظ الدليل والاستحواذ عليه إلى تحليل الذاكرة والشبكات والسحابة والذكاء الاصطناعي.

A practical, beginner‑friendly guide to eating plant‑based on just $50 per week using whole foods, smart shopping, and simple meal planning. Based on real 2026 grocery prices and pantry‑first cooking.

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

Learn Python from first principles to practical application design. Build a strong understanding of the language, write maintainable code, and connect core Python features into real-world programs.

​A system-first engineering guide to building, deploying, operating, and securing production-grade Kubernetes clusters, cloud-native platforms, and AI inference workloads.

Fifty realistic support cases. Learn what to investigate, document, and communicate before you hand off the ticket — so the next technician can continue the work instead of starting over.

The user says it works. Is the ticket really finished? Fifty realistic IT support cases that train you to verify the fix before you close the ticket.

The first complaint is not always the real problem. Work through 50 realistic IT support cases and learn to follow the evidence from symptom to root cause.

Twenty-four chapters, twenty-three labs on your own laptop, and several that break Harbor on purpose. Install it on a VM and on Kubernetes, gate deployments on scans and signatures, back it up in an order you can defend — and become the person responsible for the registry, not just the one who installed it.

Fifty tickets. Fifty judgment calls. Decide whether to solve, investigate, contain, communicate, or escalate — then see what a strong support professional would do next.

A complete quick‑reference sheet covering solar kits, wind turbines, LiFePO4 battery banks, inverters, MPPT controllers, and off‑grid water pumps — designed for cabins, tiny homes, vans, and residential renewable setups.

Network traffic can look like noise until you know what to look for. This practical guide shows you how to investigate unfamiliar protocols, analyze packet captures and build reliable workflows with Claude Code. Learn to reverse engineer traffic, test your assumptions and turn raw network data into findings you can trust.

Rapid-development frameworks across Ruby on Rails, Node.js, PHP, Python, and .NET revolutionized how quickly we can ship software. But what happens when your business domain grows complex? Relying on Active Record and heavy ORM patterns tightly couples your database to your business logic. As your product matures, this coupling creates brittle, difficult-to-maintain codebases that resist change and slow down your team. The solution is the Domain Model Pattern (the foundation of Domain-Driven Design). It isolates business rules from infrastructure, creating a pure, scalable architecture. Historically, however, this pattern required a massive amount of effort and boilerplate, making it too slow for fast-paced development. That changes today. We are at an AI inflection point. Modern AI coding assistants excel at generating boilerplate and wiring infrastructure, effectively eliminating the traditional drawbacks of DDD. AI finally bridges the gap between the rapid speed of framework scaffolding and the architectural purity of a Domain Model. But to harness AI reliably, you cannot simply let it generate code unguided. You need a structured methodology to guide the machine. In this book, you will learn:How to build reliable, maintainable software using a strict, AI-assisted pipeline: Use Cases → Gherkin → Event Storming → Strategic & Tactical DDD.How to create implementation-agnostic class diagrams that serve as universal blueprints, allowing you to generate code in OOP languages (Java, C#, PHP, Python) or Functional languages (Elixir, Clojure, F#).How to future-proof your systems with a timeless methodology that prioritizes the longevity of business logic over the ephemeral nature of web frameworks.How to scale your architecture gracefully from a Majestic Monolith to Microservices without a complete rewrite. The methodology is language agnostics but in this edition all codes samples are in TypeScript. Whether you want to accelerate your development velocity, improve your system's resilience, or simply reclaim your craft by building beautiful, majestic systems, this book provides the blueprint.Discover how to combine the timeless principles of DDD with the power of AI.