Books

A complete beginner‑friendly checklist that teaches you how to understand AI, learn essential tools, build prompts, automate workflows, and develop daily learning habits.

A management book for product development leaders tired of "on track" reports that turn out to mean nothing. It shows how to make "better" explicit enough to design against, spend against, and be proven wrong by.

Your AI pilot worked in the demo. Then it met the organization. Learn to find the organization that actually runs, settle who has authority to change it, and redesign it before you hand it to people, software, and AI agents.

A practical guide to operating systems, systems programming, memory, concurrency, filesystems, and low-level system behavior.

A clean, modern guide that helps small-apartment cooks simplify tools, optimize storage, and create a calmer, more functional kitchen.

İşletim sistemlerinin ve sistem programlamanın temel mekanizmalarını süreçlerden belleğe, sistem çağrılarından eşzamanlılığa kadar bütüncül bir yaklaşımla keşfedin.

Un glossaire clair et rigoureux de plus de 800 entrées en pathologie végétale. Destiné aux étudiants, enseignants et praticiens, il couvre les agents pathogènes, l’épidémiologie et la protection des cultures.

A practical production standard for organizing electrical control panel assembly from kitting and mechanical processing to wiring, inspection, testing, and final release. Designed to make production more consistent, repeatable, and efficient.

We'll be working on a platform made up of seventy-nine recipes together. It starts off as a simple task, printing a line, but by the last chapter it covers extraction, warehousing, containers, machine learning and incident response. You can't just throw away examples in your work, and you shouldn't be doing that in your examples either. You don't need to be an Airflow expert to get started. What you're really learning here isn't a tool. It's all about making sure work is repeatable, observable and safe to rerun.

A structured construction normative library for engineers, contractors and construction professionals — 322 work items across 9 construction sections, with labour and machine norms.

AI-generated content is everywhere, but how do you know what is real? The AI Forensics Handbook explores the science behind detecting synthetic text, images, video and audio, revealing the signals AI leaves behind and the methods used to uncover them. Practical, rigorous and grounded in real-world limitations, this is a guide to understanding what detection can really prove.

Behind every breakthrough in Generative AI isn't magic—it's mathematics."​Ever wondered what actually happens inside a Large Language Model when it generates the next token? Beyond the hype and high-level API calls lies an elegant foundation of probability, vector geometry, and linear algebra.​In The Mathematics of Generative AI, Ahmed Adawy strips away the academic jargon to reveal the exact core equations driving modern LLMs. From conditional probability and high-dimensional embeddings to Query-Key-Value attention mechanisms, this capsule equips software engineers and AI practitioners with the intuition needed to build, debug, and innovate with confidence.​Stop treating AI like a black box. Master the equations beneath the intelligence.

React Native got you far. But when performance, maintainability and long-term control start to matter, native development deserves another look. This book explores Swift, SwiftUI, Kotlin and Jetpack Compose, helping you understand when going native makes sense and how to make the move without losing what already works.

What really happens when you pay with a card? This book takes you behind the scenes of modern card payments, breaking down the systems, players and processes that make every transaction work, from issuing and authorization to clearing and settlement.

Build real-time data systems that can keep up with the demands of production. Streaming at Scale takes you under the hood of Apache Flink, covering state, event time, exactly-once processing, performance, Kubernetes and more. With runnable examples and practical lessons, it shows how to build systems that are fast, reliable and ready to scale.