Computers and Programming

Turn a static class hierarchy into a real semantic graph: object properties, inverse properties, property characteristics, and domain and range, all hands-on in Protege.

Master Ontology Engineering with Protégé and the EKA Framework—Volume 1 of a multi-volume series that teaches ontology engineering hands-on through the Pizza.owl tutorial and connects it to a modern framework for building executable semantic systems.

Another Production Field Manual: protect APIs before overload becomes an outage with rate limiting, throttling, and tenant fairness.

Mastering Qdrant for RAG Applications is your practical guide to building production-ready RAG systems with the leading open-source vector database. Learn how to design, optimize, and scale high-performance vector search using Qdrant through clear explanations, real-world examples, and hands-on code.

Designing software is only the beginning.The true challenge lies in transforming well-designed systems into reliable, scalable, secure, and maintainable solutions that solve real-world business problems.That is precisely where System Analysis and Design: Concepts, Techniques, and Real-World Applications (Vol-II) begins.

Writing TypeScript is only the beginning.Mastering TypeScript means learning how to design software that is scalable, reusable, maintainable, and capable of supporting applications used by millions of users.That is where The TypeScript Way: A Developer's Guide to Modern Web Development (Vol-II) begins.

Modern web development has evolved dramatically over the past decade.Applications have become larger, more interactive, and increasingly complex. As projects grow, maintaining reliable JavaScript code becomes more challenging, leading to bugs that are often discovered only after deployment.What if many of those errors could be detected before your application even runs?

HTMX is redefining modern web development by making it possible to build dynamic, interactive applications with the power of HTML and server-driven design. HTMX in Practice shows you how to build fast, maintainable web interfaces with practical examples and production-ready techniques.

Discover the power of Nim, a language that combines Python's simplicity with C-level performance. Through practical examples and real-world projects, this book will help you master Nim and build fast, reliable, production-quality software.

Erlang was created to build systems that never stop. From its origins in telecommunications to modern platforms like WhatsApp and RabbitMQ, its approach to concurrency and fault tolerance has shaped some of the world's most reliable software. This book teaches both the language and the principles behind building resilient, production-ready systems.

Master AArch64 assembly with a practical guide that covers ARM64 fundamentals, advanced instruction sets, performance optimization, debugging, and systems programming. From your first instructions to writing efficient low-level code, this book provides the knowledge and hands-on examples you need.

Zig in Depth is a practical guide to modern systems programming with Zig. Through clear explanations and runnable examples, you'll learn to write safe, efficient, and idiomatic Zig code, from the language fundamentals to advanced features like comptime, memory management, concurrency, and C interoperability.

Take your Flutter skills from beginner to professional with a practical guide to building production ready applications. Learn Dart, master Flutter's core concepts, integrate real world services, optimize performance, and confidently publish polished apps to the App Store and Google Play.

Master TypeScript from the fundamentals to advanced patterns with a practical, project-based guide. Updated for the 2026 ecosystem, this book covers TypeScript 6.0, the upcoming Go-native TypeScript 7.0 compiler, Bun, Deno, and the skills needed to build modern, production-ready applications.

Deep learning is transforming the world, and this book provides a clear, practical path to mastering it. Through concise explanations and hands-on Python examples, you will learn to build, train, optimize, and deploy neural networks with confidence for real-world applications.