Books

A rigorous and intuitive path that builds geometry as a "white box": an invariant algebraic calculus of points, vectors, bound vectors and oriented areas, free from arbitrary a priori coordinates and suitable for geometric co-design.Also available in the multilingual bundle [Geometric Algebra Multilingual Bundle](https://leanpub.com/b/geometric-algebra-multilingual-edition-it-en-fr)

As global legislation and procurement rules increasingly mandate that high-level AI systems must "recover from incidents", the critical challenge has shifted from conceptual policy to verifiable evidence. Assessing AI Resilience bridges this gap by establishing a mathematically grounded, evidentiary framework for evaluating how complex and agentic AI systems recover their operational condition. Drawing on international standards and rigorous signal-processing principles, this 660-page monograph provides policymakers, enterprise risk leaders, and assessors with the actionable methods, governance guardrails, and measurement models required to turn compliance into defensible engineering discipline.

Build practical AI agents and automate real-world digital workflows through five hands-on projects. Learn to create research, email, social media, news digest, and code review agents using modern AI tools and step-by-step implementation guidance.

Build real-world web applications with the power of AI!Learn to create five practical full-stack projects—from a professional portfolio and SaaS landing page to an e-commerce catalogue and real-time chat application.Explore modern web technologies, AI-assisted coding, database integration, testing, debugging, and deployment through a hands-on learning approach.Plan. Build. Test. Deploy. Learn modern web development with AI assistance.

What happens when artificial intelligence begins improving itself? The Recursive Loop explores how recursive self-improvement could work, what is already possible and what remains beyond our reach. Combining technical depth with critical analysis, it examines the opportunities, risks and profound implications for the future of AI and human civilization.

A hands-on guide to recovering governing equations from data with symbolic regression, SINDy, and PDE discovery. Every method is built from scratch in Python, with the discipline to tell a genuine law from a plausible fit.

Your dungeon was only the beginning. Add inventory, powerful equipment, character classes, and spells—from Magic Missile to a risky Teleport—as you build a richer Python adventure step by step. Bring it to life with a graphical interface, save your progress, and head downstairs—where death still has the final word.

Step inside the technical world behind live television news. This illustrated professional guide explores control-room systems, signal flow, live production, technical leadership, troubleshooting, emerging broadcast technology, and career development.

Build a Kalshi trading system in Python, and learn to tell a real edge from a lucky backtest: point-in-time data, a model blended with the market, honest walk-forward tests, and P&L you can verify.

A short, tool-agnostic field guide to what AI really changes at the unit, integration and end-to-end levels of testing, and how to adopt it without losing trust in your suite.

Go beyond C syntax and develop the engineering skills to understand memory, systems, and reliable software. A comprehensive 20-chapter journey from your first C program to professional engineering decisions, with practical examples, worked solutions, and an integrated project.

A coding agent delivers flawless code in seconds, with a function in the middle that never existed: hallucination lasagna. Claude Shannon's noisy channel from 1948 explains why plausible output is not reliable, and how a sharpened transmitter, a controlled channel, and a checking receiver turn it into reliable software.