Books

A practical, field-oriented compressor troubleshooting case study showing how to move from symptoms to diagnosis, root cause, corrective action, and verification.

What if you could build software without manually writing every line of code? Artificial Intelligence is transforming the way software is designed, developed, tested, and deployed.But becoming an AI-powered software engineer isn't simply about asking an AI to write code.It's about learning how to think, design, build, test, verify, and improve software with AI as your engineering partner.The AI-Powered Software Engineer takes you on a practical journey from traditional programming to AI-assisted development and modern AI engineering.Learn how to use AI to:Design software. Generate and understand code. Debug complex problems. Build AI-powered applications. Automate workflows. Test and secure software. Deploy real products. Build AI-powered SaaS businesses.You don't need to become the fastest programmer in the room.You need to become the person who can turn an idea into a working, reliable, valuable system.Write less code. Think more. Build faster. Engineer smarter.The future of software engineering isn't humans versus AI.It's humans building with AI.

You don’t really want to read all day. You’ve got better things to do, and life is too short. Find the problem, reprogram the root, run the right add-on, and keep it pushin’.

Quanto cibo produce il mondo, quante risorse servono per produrlo e quali conseguenze genera? Un viaggio attraverso i grandi numeri dell'agricoltura e del sistema alimentare, dall'Italia al mondo, per comprenderne dimensioni, relazioni e impatti.

工具是新的，组织是旧的——先改装组织，再谈智能体。

Real concrete pump failures. Real diagnostic reasoning. Practical root-cause analysis. Learn how hydraulic pressure, flow, accumulator behavior, check valves, and proportional pump controls can be analyzed systematically to find the actual cause of poor S-cylinder performance and restore reliable pumping operation.

A complete decluttering system designed specifically for tiny homes, vans, cabins, yurts, and off‑grid living. Learn how to reduce, compress, and anchor your belongings so your small space finally works the way it should.

Review the theory. Work through the examples. Solve the problems. Prepare for your examinations with confidence.Aerodynamics, Turbomachinery & Computational Fluid Dynamics is designed as a practical review and examination-preparation guide for engineering students. It brings together essential concepts, equations, methods, worked examples, solved problems, and numerical exercises to help students quickly revise and apply what they have learned.The book places particular emphasis on step-by-step worked examples and problem solving. Important formulas and principles are followed by applications showing how to approach typical engineering problems, perform calculations, and interpret the results.Use it for systematic revision throughout the semester or intensive preparation before examinations. The worked examples and problems are especially useful for developing speed, accuracy, and confidence in solving numerical and analytical questions.Ideal for students of aerospace engineering, mechanical engineering, aeronautical engineering, and related disciplines, preparing for university examinations, competitive examinations, and technical assessments.

AI agents are moving from experiments into real production systems. This book shows experienced engineers how to design, deploy and operate reliable agent systems that can scale. From architecture and infrastructure to security, reliability and governance, it provides practical patterns and production-ready examples for building autonomous systems that work in the real world.

Learn Python from the ground up with clear explanations, practical examples, and a beginner-friendly approach. Build a strong foundation in programming and gain the confidence to move toward real-world Python projects.

We'll begin with the most basic question — what does it mean to "see" something? — and walk step by step through how we gather information from the universe. From photons falling into telescopes to the fingerprints of atoms in starlight, you'll learn how we extract meaning from distant messengers. This book doesn't assume you're a physicist. What it assumes is that you're curious, thoughtful, and willing to slow down and think things through. We emphasize conceptual understanding, plain language, and building your own reasoning from the ground up. You'll walk in the shoes of astronomers, wrestle with cosmic puzzles, and come away with a deep, working intuition for how astrophysics actually works. Whether you're preparing for more advanced coursework, teaching others, or simply hungry to understand the universe for yourself, this is your starting point. Note: this material is originally developed as a required resource for a college course. The series continues to AftRoU: Physics of Stars and AftRoU: Physics of Galaxies. Their book versions are going to be available as soon as they are ready. Hopefully around January 2027 timeframe.

When a 2,048-GPU training cluster running a 400-billion-parameter model sees its iteration time double without triggering a single alert, firing a CPU panic, or dropping a single packet, you don't have a machine health problem : you have a coordination failure. Beyond Uptime is the definitive field guide for Site Reliability Engineers, platform leads, and cloud architects tasked with keeping frontier AI compute running at peak efficiency. Moving beyond deceptive "GPU Utilization" charts, this book uncovers the hidden mechanics of barrier synchronization, lossless network congestion cascades (PFC/ECN), silent PCIe downtraining, and Silent Data Corruption (SDC). Packed with eBPF tracing methods, streaming gNMI telemetry rules, statistical tail analytics (MAD/CUSUM), and dynamic circuit-breaker strategies, Beyond Uptime gives you the battle-tested framework needed to isolate stragglers in minutes rather than days. Stop paying the silent tax on your AI infrastructure!

Passage 1 — Chapter 9, "Data Security": a definition that sets the technical tone immediately A hacker is someone skilled at finding undocumented techniques and loopholes in the tangled architecture of complex information systems; by intent, a "white hat" looks for such loopholes in order to strengthen the system, while a "black hat" uses them to steal or to cause harm. Passage 2 — Chapter 14, "Metadata Management": an image that explains the whole topic in one paragraph A vivid illustration: an enormous document archive with no index at all — the shelves are full, but there is no way to find out what sits on them short of examining every single box by hand. That is exactly what an organization looks like when it has piled up mountains of data without also taking care of metadata — the information physically exists, but it cannot be used systematically, since the only way to find what is needed is to already know where it sits. Knowledge about data is always scattered: in a large company, one person carries the structure of a single database in their head, another the rules of a single integration, a third the history of a single metric, and nobody holds the complete picture. Passage 3 — Chapter 15, "Data Quality Management, Part 1": why "quality" is an empty word without a yardstick A postal address missing an apartment number works perfectly well for a mass catalog mailing and works terribly for a courier who has to knock on the right door — and in both cases it is the very same row in the very same database, only the yardstick applied to it differs. Passage 4 — Chapter 21, "Organizational Change Management": the book's closing summary Data governance, the coordinating hub of eleven knowledge areas this book opened with, stays an empty frame until specific people come to value the new way of working with data through their own experience — which is exactly why a book that began by mapping the circle of disciplines around that hub fittingly closes not with another technique or tool, but with a conversation about the person without whose deliberate participation no structure ever becomes a practice.

Linux System Hardening is a practical guide to securing Linux systems from the kernel to the cloud. It explains how threats work, how to apply effective controls and what you give up along the way. Built for admins, security engineers and DevSecOps teams working with real production systems.

Static code analysis is more than running a linter and fixing warnings. This book shows how to build practical analysis pipelines with Claude Code and deterministic tools, combining AI-driven insights with reliable checks to improve code quality and security across projects of any size.