Books

Learn Microsoft Intune through visual explanations of enrollment, device configuration, applications, compliance, and endpoint operations.

If you’ve been wishing you could get the “effortless” weight loss benefits of GLP-1 drugs but WITHOUT any side effects, you’re going to be very excited by what I’m going to show you in this little tutorial book!

Build a practical foundation in identities, authentication, authorization, credentials, and access management with clear visual explanations.

Understand Google Cloud through clear diagrams of identity, networks, compute, data, security, and everyday operations.

A hands-on guide to mitmproxy 12: trust the CA, filter, modify and replay traffic, write Python addons, choose the right proxy mode, intercept mobile apps past certificate pinning, and automate API security tests. Every output shown is a real run against a lab API.

Learn how to prepare for power outages, water disruptions, food shortages, and emergency situations while living in a small apartment. This guide provides practical strategies, checklists, worksheets, and preparedness plans designed specifically for renters and urban residents.

Move from observing AI agents to operating them through runtime evidence, evaluation, economics, reliability, and governed action.This practitioner-focused book develops an architecture for production AI systems where traces, evaluations, safety signals, cost, business outcomes, and operational authority become part of one evidence model.

A short, hands-on guide to reverse engineering with AI agents and REA 6.4.0: drive Ghidra from Claude Code, Codex or Cursor, check every claim against evidence, and work through native, Electron, Android, .NET and web targets you are allowed to analyse. Every output shown is a real lab run.

A Comprehensive Engineering Guide to Low-Precision AI, Quantized Inference, GPU Kernels, and Production DeploymentQuantization is one of the key techniques for making large language models more efficient. By representing weights, activations, and other model data at reduced precision, engineers can lower memory requirements, improve hardware utilization, and potentially increase inference throughput. Achieving these benefits, however, requires careful trade-offs between numerical accuracy, computational cost, memory bandwidth, and hardware support. Mastering LLM Quantization: Architecture and Code is a 44-chapter engineering reference covering the mathematics, algorithms, implementation techniques, GPU kernels, evaluation methods, and deployment systems behind quantized language models. It connects theoretical foundations with practical approaches to building and optimizing low-precision inference pipelines.

Build, debug and maintain websites with Claude Code through 7 practical workflows. Includes a downloadable practice project, reference code and 30 automated tests to help you verify what the AI produces.

A practical guide for generalists with multiple passions who want to stop fighting their curiosity, quiet digital noise, and build a meaningful life.

From a phone, drone or 360-degree camera to an interactive 3D scene on the web, with tested numbers and live demos.

This book will walk you through the best practices to use the indexes.