Books

“A one-of-a-kind collection of 130 challenging data structure problems with full, detailed solutions — designed to help you deeply understand data structures and solve technical interview questions with confidence.”

A TL;DR Guide to Data Structures and Algorithms in Python - using relatable analogies, practical implementations, and common algorithmic patterns.

Transform your data layer into an intelligent brain using EF Core and C#. Bridge the gap between traditional SQL and Vector Databases to power RAG and semantic search. Master secure, multi-tenant architectures that provide your AI applications with memory and context. Stop building prototypes and start architecting production-ready intelligent systems today.

Unlock the high-performance C# skills that power modern Artificial Intelligence. Deep dive into data structures like Dictionary and LINQ for efficient data pipelines. Master zero-allocation memory management using Memory<T> and Span<T> for real-time AI. Bridge the gap from standard collections to the powerful vector embeddings required by neural networks.

Bridge the gap from C# basics to professional, high-performance AI systems. Master advanced polymorphism, Generics, and functional programming patterns. Learn to architect resilient AI pipelines and manage unmanaged GPU memory. Design and build an enterprise-grade, plugin-based chatbot application from scratch.

Product teams are shipping more than ever. Outcomes are getting harder to explain. Roadmaps promise certainty. Backlogs stay full. Delivery speeds up. Yet value lags behind effort and learning arrives too late. The Operating System of Product explores why this happens and what replaces it. It shows how product work changes when execution is no longer the bottleneck and why roles, prioritisation and feedback loops must evolve together. This is not a book about better roadmaps. It is about replacing the system that needs them.

Crack mobile coding interviews by mastering patterns instead of memorization. This book teaches you how to quickly recognize interview problems and solve them confidently using reusable Swift and Kotlin templates, exactly the way top iOS and Android candidates do. If you want to think clearly, code fast, and explain your solutions under pressure—this book is for you.

From Coder to Architect: Level Up Your Python. 🚀 Mastered the basics? Now it’s time to build for real. Volume 2 dives into the architectural heart of Python—Data Structures and the Standard Library. Learn not just how to code, but when and why to use specific tools to build robust, high-performance applications. Stop writing scripts; start building systems.

JSON succeeded not because it was better--XML had schemas, namespaces, and 10 years of tooling, but because it understood modularity in ways XML never could. This book deconstructs how a deliberately incomplete format defeated a comprehensive standard, then shows you the production patterns (JSON Schema, JSONB, MessagePack, versioning strategies) that make JSON systems scale from prototype to billions of requests.

Build AI agents that truly remember, reason, and act—entirely on user devices. Move beyond prompt engineering to create autonomous systems with graph-based memory using SQLite and LibSQL. Learn to implement hypergraphs, metagraphs, and vector search for privacy-first AI that scales to millions of entities. From personal knowledge graphs to production mobile apps, master the three pillars of agent autonomy: tools, memory, and reasoning. Real code, working examples, battle-tested in production. The future of AI is local, private, and in your hands.

Data-architectuur in de praktijk is hét handboek voor elke data-architect én zijn omgeving. Wie dit boek gelezen heeft is thuis in termen als: data-principes en -patronen, datamodellen en repositories.

Descubre cómo revolucionar tu flujo de trabajo y multiplicar tu productividad con AUTOMATIZA TU DESARROLLO WEB CON ChatGPT Y GitHub Copilot.Aprende a integrar estas poderosas herramientas de inteligencia artificial para crear código más rápido, evitar errores comunes y enfocarte en lo que realmente importa: ¡construir proyectos increíbles!