Books

You don't buy what's best. You buy what makes sense to you. A computer that won on every spec — rejected. A jar of sauce nobody noticed — suddenly irresistible the moment it vanished. A salesman who talked you out of the sale — and made it. Why We Buy? follows five real, first-person moments where logic lost to something quieter: trust, timing, and the story we tell ourselves about our own choices. No diagrams. No slogans. Just the exact instant a "no" became a "yes" — and why.

The second half of a from-scratch AI/ML course that refuses to skip the hard parts: LSTMs, real attention, a working transformer, LoRA fine-tuning derived and measured, and a genuine multi-tool, multi-agent system — every mechanism built by hand, then checked against PyTorch and real numbers.

What really happens between typing a SQL query and getting a result? Build a database engine from the ground up in Rust and find out. You’ll work through storage, indexing, concurrency, recovery and query processing while turning each chapter’s code into one working system.

Excerpt 1 — Chapter 1, "Introduction": why cybersecurity management is not about technologyThe simplest way to manage an organization's cybersecurity is to draw up a list of technical measures ("install antivirus software," "enable multi-factor authentication," "encrypt disks") and carry them out one by one. This approach has an obvious advantage — simplicity — but also a systemic flaw: it does not answer the question of which measures this particular organization actually needs, to what extent, and what to do when there are not enough resources for "the whole list." It also creates a false sense of completeness: "we implemented everything on the list — so we are secure," even though the real level of risk depends not on the length of the list but on how well the measures match the specific threats and the value of the organization's assets. Excerpt 2 — Chapter 1: cyber risk within enterprise risk managementIf cybersecurity is about managing risk rather than a checklist of technical measures, the logical continuation of this idea is as follows: cyber risk is not a separate, isolated category discussed only by the IT department in its own language. It is one of the types of risk that any enterprise faces — alongside financial, reputational, operational, and supply chain risk. It should be managed within the same frame of reference as other enterprise risks. Excerpt 3 — Chapter 14, applying the Chapter 10 mapping methodology: where a mapping gap becomes a technical projectThe last row is the central conclusion of this step, and of the whole case study: the mapping table shows honestly that no Annex A control exists for PR.AA-04 that can simply be marked "done" and the gap considered closed. An organization relying only on the SoA, or only on the mapping table, could mistakenly conclude that because A.5.17 partially covers the topic, no further action is needed — which is exactly why the gap analysis, the SoA, and the risk register above all consistently define SSO as a separate, explicit technical project, rather than a derivative action from existing controls. Excerpt 4 — Chapter 14, closing paragraph of the bookThe running case study in this chapter has shown that the fifth step of the Chapter 7 methodology — "the organization can repeat these steps as often as needed" — is not a rhetorical flourish but a real operating cycle: MFA for contractors, backup encryption, and automatic deactivation in the ERP, each opened by a separate cycle in Chapters 6–7 and 13, were already closed and verified by the time this chapter began, and the very fact of their closure — through broadening the profiling scope to identity management across the ERP and CRM together — opened up a new, precisely formulated gap, PR.AA-04, reflected consistently and at once in the updated profile, the action plan, the SoA, the risk register, and the mapping table. It is precisely this consistency among five tools converging on a single decision, not the mere existence of each tool on its own, that is the practical upshot of building an integrated cybersecurity management system.

A calm, cinematic outdoor guide covering the four core survival fundamentals: fire, shelter, water, and navigation. Designed for beginners who want real outdoor confidence.

Coding agents reconstruct your domain from schemas and code, and nothing on disk disagrees with them. This book gives them something that does: an ORM 2 conceptual schema that verbalizes into checkable English. 18 chapters, 61 diagrams, 38 working models, and a promise graph for multi-agent work.

A practical, plain‑English guide that teaches city dwellers how to travel affordably using simple planning systems, smart packing habits, and cost‑saving strategies.

A Technical Engineering Reference on Decentralized, Resilient, and Autonomous Mesh Communication InfrastructureWhat happens when a network can no longer depend on centralized infrastructure?Engineering Sovereign Dark Mesh Networks examines the architecture, protocols, cryptographic foundations, routing systems, hardware and resilience strategies behind decentralized communication networks designed to operate across unreliable, disconnected, and infrastructure-constrained environments.

Build a real, production-grade design system on the web platform — Prism DS, from a single custom element to an AI-agent-ready component library — with every example tested in a real browser before it made it into the book.

When arrogant content creators attempt to monetize their traditional Indian families through malicious viral pranks, the ancestral elders do not weep—they orchestrate ruthless, real-world counter-attacks. Like, Share, and Submit chronicles nine horrifyingly hilarious case studies of digital hubris where internet trolls are brutally outsmarted by ancient traditions and unyielding physical laws. The cameras might be rolling, but the legacy systems are fighting back.

Unlock the hidden truths of God's Word. The Spiritual Truth will transform how you see scripture, prayer, and your purpose. A must-read for every believer who wants deeper revelation.

У всіх однаковий доступ до однакових моделей — а результати відрізняються на порядок, і різниця не в промптах. Ця книжка дає метод: бачити свою роботу з AI як систему, в якій керує той, у кого більше різноманіття, — і лишатися тим, хто керує.