The Developer's Guide to AI
Build intelligent applications—no data science degree required.
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Build intelligent applications—no data science degree required.
The Ghidra Book is a practical introduction to Ghidra, a comprehensive, open-source tool suite for reverse engineers.
AI is no longer a futuristic concept—it’s embedded in critical systems shaping finance, healthcare, infrastructure, and national security. But with this power comes unprecedented risk.
Satellites power our internet, GPS, weather forecasts, defense systems—and they’re all at risk.
Build a more secure network with PF.
A technical exploration of the malicious software bought and sold on the dark web, where bad actors offer malware-as-a-service (MaaS) to the highest bidders.
This comprehensive introduction to the information security field covers the industry’s essential concepts, using real-world security breaches to illustrate key lessons.
You’ve seen what Python can do. Now go deeper.
Aspiring hackers will learn foundational programming in C and assembly languages from a veteran hacker and develop the skills to create their own hacking tools.
Learn the ins and outs of Wi-Fi, Bluetooth, and Long Range wireless technologies through practical, step-by-step projects using Raspberry Pi and other inexpensive hardware.
This exhaustive guide to the Linux memory subsystem is the first major resource since 2004 to cover key concepts and essential techniques for developers.
A comprehensive, hacker-written guide for security professionals looking to plan and implement real-world penetration testing, or “red team,” operations.
Building on two successful editions (135,000 copies sold), this book adds essential updates to a title considered the Rust programming language’s official documentation.
Dive into deep learning without drowning in theory with this fully updated edition from AI expert Ronald T. Kneusel.
Find vulnerabilities before anyone else does.
A friendly introduction to quantum programming for complete beginners.
When Excel isn’t enough, it’s time to learn Python.
This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis.
A complete guide to deep neural networks – the technology behind AI – covering fundamental and advanced techniques to apply machine learning in real-world scenarios.
Everything you need to know to build a TypeScript product from scratch.
Master the tools. Build the workflow. Own the shell.
Learn how to build a web app that can monitor millions of posts across social media to chart public opinion in real time.
How real engineers build electronics—one working piece at a time.