Books

Quantitative finance in C++: an inside look at the architecture of the QuantLib library.

A primordial Forth, and some related philosophy.

A hands-on introduction to econometrics using Python notebooks in the cloud. Intuitive examples, real-world case studies, and AI-powered tools—no installation required. From your first simple regression to satellite imagery-based predictions of poverty across Bolivia, you will learn by doing.

Book 3/3 of the Java Developers Roadmap series, this Senior Level volume dives into the advanced topics you’ll meet in real Java codebases: performance, security, code analysis, utility libraries—and modern frontiers like AI, reactive programming, and Web3. Use it as a roadmap (not a checklist) to level up your technical toolbox with clear explanations, practical examples, and common pitfalls to avoid.

Learn Generative AI the way software professionals think: as probabilities, algorithms, and systems—not magic. From foundations to RAG, agents, and MLOps, with math always optional but available.

Let’s make a confession. This handbook is about me, and, I suspect, about you, your team, and your organization too.I’ve made almost every mistake listed in these pages. I’ve seen them repeated in startups, enterprise systems, and everything in between, while mentoring teams, auditing architectures, or helping companies rediscover what testing is really for. The point isn’t to assign blame. It’s to hold up a mirror. Because the truth is, most of these mistakes are so common, you can probably spot a few right now; in your code, your team, or your last retrospective.When we talk about test failures or mistakes, the first thing that usually comes to mind is developers, missed edge cases, flaky tests, broken pipelines.

Low level is a term that confuses people. People think something high level is better than low level. In simple terms, humans consider themselves superior to machines and therefore think themselves higher or more important because of their abstract though. A computer thinks only in terms of numbers. A computer may not understand "high level" abstractions such as love, religion, philosophy, etc, but that is not its job. A computer must add, subtract, multiply, and divide. These are the four arithmetic functions which many human struggle to do. I wrote this book because I think like a machine and I hope to help others think this way because it is the best way to learn programming and control your computer by writing Assembly Language programs or to go back to your favorite programming language with a greater understanding of why things work as they do.

Quantum computing is real, but is frankly surrounded by a thick fog of hype. Do you want to see it clearly, understand its realities, and even consider joining it as a professional software engineer?

Alternative investments are no longer “alternatives.” This book shows how they really work—and how to analyze them with clarity, rigor, and modern data-driven insight.

An illustrated book perfect for teaching your little ones the basics of the C# programming language!

Tips and tricks for using d3.js (version 7), one of the leading data visualization tools for the web. It's aimed at getting you started and moving you forward. You can download for FREE or donate to encourage further development if you wish :-).