Computers and Programming

Build a city. Not a toy project — a living system.In Masters of the Metropolis, you don’t learn programming by memorising syntax. You learn by constructing a simulation that evolves over time.Every chapter adds something real: time, citizens, economy, infrastructure, events.By the end, you’ve built more than code. You’ve built a system that behaves.

When machine-to-machine coordination takes over the digital world, human signal gets swallowed by synthetic noise. AI vs AI decodes the hidden architecture of the artificial deadlock and arms you with the personal disciplines required to keep your voice visible.

The chapter that grew into its own book: existential and universal restrictions, the correct VegetarianPizza pattern, and how OWL restrictions become EKA governance.

"Stop writing code. Start engineering impact."Bridge the gap between a Junior Developer and a System Architect. Master the high-level infrastructure, cloud patterns, and open-source rigor required to build sustainable, global-scale systems. From AWS Lambda and Terraform to the ethics of Data Integrity, this is your masterclass in building "Proof of Work" that matters.

Ser un Domain-Driven Software Engineer no significa saber patrones complejos de codigo. Se trata de entender el problema del negocio antes de tocar el teclado. Es la diferencia entre ejecutar tareas y aportar soluciones. Es la diferencia entre ser considerado un gato o una inversión.

Most data modelling books teach you the craft. This one teaches you the reality. Seven chapters of honest, practical guidance from real project experience — covering conceptual modelling, governance, enterprise challenges, and the human side of data work that nobody else writes about.

Aprende a llevar Claude Code más allá de las demos: agentes que usan herramientas, respetan permisos, dejan trazas y funcionan dentro de sistemas reales de producción. Una guía práctica para diseñar, evaluar y escalar agentes sin perder control, calidad ni seguridad.

Python Engineering Judgment is for engineers who already know Python and want to build the skill AI makes more valuable: the ability to reason about code, systems, tradeoffs, and failure modes. This deep, practical field guide teaches the Python object model, type system, decorators, generators, concurrency, asyncio, multiprocessing, API design, packaging, performance, debugging, security, observability, and reliability through the lens of real-world engineering judgment. Use it to prepare for senior, staff, principal, and tech-lead interviews, and to make better decisions in code reviews and production systems.

In a world of infinite AI-generated text, fluency is no longer a credential—trust is. Learn how to engineer "signal" into your technical writing and build an authoritative presence that algorithms can't replicate. This is the definitive practitioner’s guide for publishing in the AI era.

Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.

Spring Security 7 from the inside out. Trace requests through the filter chain, build a custom identity provider with Spring Authorization Server, secure reactive WebFlux services, and ship production hardened systems backed by JWT, OAuth2, OIDC, SAML2, WebAuthn, and zero trust microservice patterns. Built around CineTrack on Spring Boot 4 and Java 21. Written for engineers who already ship Spring Boot in production.

Postgres woke you up at three in the morning. Same code. Same hardware. Something changed. This book explains what changed and why, starting from the one idea that makes everything else legible: MVCC.

Navigate the architectural discontinuity of the Foundation Model Era with this comprehensive guide designed for professionals sitting at the intersection of technology and leadership. Master the intersection of technical precision and strategic oversight through the RACE framework, robust ethical principles, and the operational realities of MLOps. From the legal mandates of the EU AI Act to the emerging risks of agentic AI, this guide empowers you to lead AI transformation with intention and accountability.