Books

Over 600 pages of tips and tricks for using d3.js, one of the leading data visualization tools for the web. It's aimed at getting you started and moving you forward. Includes over 50 downloadable code examples. You can download for FREE or donate to encourage further development if you wish :-).

¿Qué pueden decirnos una democracia en crisis, una guerra civil en Corcira, las mujeres y diosas de la mitología griega, el colapso de la Edad del Bronce o la tragedia sobre nuestro presente? Tremenda turra recorre episodios, mitos y textos de la Antigüedad para descubrir que, aunque el mundo haya cambiado mucho, algunas preguntas siguen resultando incómodamente familiares.

El software cambió de puerta de entrada: ya no abrimos apps, le hablamos a un asistente. Aprende a construir para ese mundo —una app AI-native real con MCP, OAuth y LLMs— usando la IA como copiloto. De cero a producción.

Claude Code puede trabajar solo durante horas. La pregunta no es si confiar en él — es cómo dirigirlo para que ese tiempo no se convierta en el tuyo, limpiando después.

This book is the summary of everything you are going to need to learn how to deploy LLM to production. All the tips and tricks, and some interview questions.

Do you love commercial coding agents like Google Antigravity and Claude Code? So do I! However I often use local agentic coding tools and this book will help you get started quickly.

Reliable Generative AI bridges business use and technical architecture. It teaches the foundations of prompt design, RAG, agentic workflows, tool use, structured outputs, safety patterns, and evaluation without assuming the reader is a software engineer. The focus is practical: understanding how AI workflows fail, how to design around those failures, and how to build systems that professionals can trust.

Ninety-two C# features, from C# 5 to C# 14, organized by the problems they solve — with verbatim code from five runnable projects and seven production-ready patterns, all on .NET 10 LTS.

From KNN to LLMs: build real AI applications in TypeScript — no GPU required. Implement machine learning from scratch, train neural networks with TensorFlow.js, integrate Google Gemini and OpenAI APIs, run local models with Ollama, build a chess engine with alpha-beta search, and query the world's knowledge graphs with SPARQL — all from the command line.

You have been using AI as a faster keyboard.The engineers who will define the next decade are using it as a cognitive workforce they direct, constrain, and govern. The gap between those two practices is not a matter of better prompts. It is a matter of an entirely different mental model.This book is that mental model. Built from first principles. Illustrated through 28 chapters of real architectural decisions, real failures, and real production systems.From execution to orchestration. The complete practitioner guide.

The best compliment a reader can pay your code is not "this is impressive" — it is "this was exactly what I expected." Beautiful but Boring teaches the discipline of writing Python that earns that compliment: precise naming contracts, type annotations that say what a function actually requires, and a framework for maintaining those standards consistently across a codebase, a team, and a career.

Move beyond chatbots. Learn how to build autonomous AI agents that execute real business workflows 24/7 and scale operations at a fraction of traditional costs.

Digitale Transformation war das Hype-Thema vor KI. Es gibt allerdings einen nicht geringen Anteil an Fach- und Führungskräften, deren Wissen darüber weiter ausbaufähig ist. Dieses Buch ist eine Einführung für alle diejenigen, die keine "digitalen Pioniere" sind, sondern wissen wollen, was aus dem Thema Digitalisierung auf sie zukommen kann und aus dem Thema KI zusätzlich auf sie zukommen wird.