Books

Android Debug Bridge (ADB) is much more than a command for installing applications or opening a shell. It is an interface to Android's debugging, diagnostics, package management, performance analysis, device automation, and system-inspection capabilities. Mastering Advanced ADB Command Line is an 80-chapter technical reference for professionals who need to work beyond basic commands

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.

An advanced technical reference to Qiskit architecture, IBM Quantum hardware, pulse-level control, error mitigation, quantum algorithms, and scalable quantum-classical computing.Quantum computing is moving beyond the construction of theoretical circuits toward the practical challenge of executing workloads on noisy, hardware-constrained quantum processors. This transition requires a detailed understanding of quantum algorithms, compiler architecture, device topology, calibration, error mitigation, and the classical infrastructure that supports quantum execution. Advanced IBM Quantum Computing and Qiskit Architecture is an 80-chapter technical reference exploring the engineering principles behind modern Qiskit development and IBM Quantum systems. It connects quantum programming abstractions with hardware-aware compilation, runtime execution, performance analysis, and the challenges of building reproducible quantum-classical workflows.

Fragment 1 — Chapter 1, "Introduction": why AI governance is a governance question, not an engineering oneWhen an organization first faces a decision to deploy an AI system — whether a credit-scoring model, an automated resume-screening tool, or a customer-support chatbot — the most common governance mistake is to treat that decision like an ordinary IT project: define the requirements, select a vendor, implement, and hand the system over to operations. Artificial intelligence technologies do rely on software and computing infrastructure, and in that sense they resemble any other IT initiative. But they differ in how they generate risk, and that difference calls for a distinct governance approach rather than a simple extension of familiar project management.Risk-oriented AI governance starts from a different premise: before discussing rollout timelines, budgets, or functional requirements, an organization has to answer the question "what adverse consequences could this system cause, for whom, with what likelihood, and how severe would they be" — and, alongside it, "how much of that harm are we willing to tolerate for the expected benefit." Fragment 2 — Chapter 3, "Trustworthy AI: Seven Characteristics of Trust": why explainability and interpretability are not synonymsConsider an AI system that automatically sorts incoming support tickets by priority. Explainability answers the "how" question: which features of the incoming text (keywords, tone, customer history) contributed to the computed priority score and with what weight — a technical account of the computation mechanism. Interpretability answers the "why" question for this particular ticket in the context of the system's business purpose — that is, whether a high priority score means "this customer is losing money right now" or "this customer is statistically likely to cancel," and whether that meaning matches how a support agent should act on it. The two characteristics support each other but serve different governance needs: explainability matters more to the engineer debugging the model, interpretability matters more to the agent or manager who must act on the system's output without understanding its internal mechanics. Fragment 3 — Chapter 18, "The Running Case": where ISO and NIST illuminate each other's blind spotsPrecisely because NIST explicitly requires, in its own standalone subcategory, a designated authority to deactivate a system, and no direct equivalent exists in Annex A of ISO, an organization that implements only ISO/IEC 42001 without checking it in parallel against the AI RMF risks missing this requirement altogether — it dissolves between the adjacent, but not identical, controls A.6.2.5 (release criteria) and A.3.2 (roles and responsibilities). This is a compelling, concrete example of the argument the book already made back in Chapter 1: the two frameworks do not compete but mutually illuminate each other's blind spots. Fragment 4 — Chapter 18, the book's closing paragraphAI risk management, as this book has shown it, never concludes with a signed document. It concludes — and immediately begins again — with the next MAP cycle, the next internal audit, the next policy review, the next model version, which has to be brought into operation just as thoroughly documented, traceable, and responsibly managed as the one before it.

A from-scratch AI/ML course that treats you like an engineer, not a tourist — three modules covering language-as-numbers, the math foundations, and neural networks, each concept built in raw Python first, then PyTorch, so you always know what's really happening under the hood.

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.

What if S3 could be more than a place to put files? Build databases, queues, event logs, Git systems and distributed applications directly on object storage. Through production-grade Go implementations, this book explores what works, what breaks and how to design reliable systems around the real guarantees of S3-compatible storage.

Build AI systems that do more than demo well. This hands-on guide shows you how to engineer autonomous software on Linux that is secure, observable, reliable and ready for production. From agents and memory to threat modeling, OpenTelemetry and Kubernetes, you’ll build a real system while learning what it takes to run AI you can actually trust.

A practical guide to finding threats that never need to touch disk. Explore Windows internals, memory forensics, EDR telemetry and network detection through safe labs and real investigative methods. Built for defenders who want to understand what happens in memory, spot suspicious behavior and turn evidence into reliable detections.

Eine 717-seitige wissenschaftliche Monographie zur axiomatischen Fundierung einer neuen Naturkonstante für Raumzeit-Isolation und Vakuum-Architektur – konzipiert für Physiker, Ingenieure und Forscher.

Eight domains, 63 sub-sections, 260 questions with full explanations, and ten investigations drawn from real branch and campus networks. This guide covers every topic on the WLSI 300-120 v1.2 blueprint, built throughout on the Catalyst 9800 running IOS XE, with complete configurations you can read as you would type them and verification commands beside every one. Written for engineers who want the material to still be useful the week after the exam.

A practical, step-by-step handbook for learning Linux, Docker, databases, and the infrastructure behind ERPNext. Understand the command line, build containers, manage services, and develop the practical skills needed to deploy and troubleshoot modern ERP environments.

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.

不堆技术名词，也不炒概念。两把尺子：一把横向的「五阶智能成长弧」（知→懂→用→长→合），一把纵向的「AI Intelligence Scale 十级刻度尺」（从表示、预测、泛化、因果，一路到规划、行动、元认知、持续学习、发现、自我改进）。

A cinematic, practical survival guide featuring eight wallet‑ready water reference cards covering rain harvesting, purification, storage, testing, winter defense, and daily rations.