Books

Security is no longer something you add after a system is built. It must be designed from the beginning.Security by Design explores how modern digital systems can be built to reduce risk, limit unauthorized access, protect sensitive data, detect threats, contain failures, and recover from attacks.From secure architecture and cybersecurity foundations to privacy, cloud security, DevSecOps, AI security, and digital resilience, this book provides a practical foundation for building systems that remain secure in an increasingly connected and AI-powered world.

Quantum mechanics, the nucleus, and quantum computing — from what you already know as an engineer to a quantum computer you build in C#. Full rigour, honest limits, no hype. For the engineer who will model them.

A house's strength is decided at framing, not finish. Ten chapters, one maxim — level the plate; do not survey the errors — applied to a foundation, a floor, a wall, a roof, and a run of stairs.

The methodology layer: the one statistical test used everywhere, three bugs found inside the checking tools themselves, a fine-structure-constant claim taken apart by exhaustive search, a falsifiable prediction that failed cleanly, and a hypothesis watched dying in real time.

A lab notebook that reports its failures with the same rigor as its wins: 57 self-reproducing numbers, a proven prime-gap fact, and a hypothesis tested, caught cheating, fixed, and refuted, live.

A simple, beginner‑friendly smartphone buying checklist that helps you compare devices, understand specs, and make a confident purchase without confusion. Designed for everyday people who want clarity, not tech jargon.

AI has moved from the lab to the boardroom. The Chief AI Officer offers a practical guide to leading that shift, from deciding whether you need a CAIO to building the teams, governance and strategy that turn AI into real business value.

A clear, modern guide to staying safe online in 2026. Learn essential cybersecurity habits, device protection steps, and practical actions anyone can take today.

Jellyfin makes self-hosting your media library look easy, but getting it right takes more than installing a server. This practical guide covers architecture, deployment, administration and optimization, helping you build a reliable setup that works smoothly for local and remote users alike.

Une histoire vraie de survie, de courage et d’espoir, vécue par l’auteur lui-même. Après plus de six heures en mer, nu et sans gilet de sauvetage, face au danger et à l’épuisement, il trouve la force de sauver une autre vie humaine.

Build a complete TypeScript MCP App with a portable text fallback, accessible React dashboard, server-validated action, and tests at every boundary. Includes the tested companion project.

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.

From mathematical foundations and PyTorch to production-grade training of language, vision-language, audio, diffusion, and embedding models