Computers and Programming

Move Beyond Simple Prompts. Build Reliable, Autonomous AI Systems.Connecting an LLM to an API is easy; building an AI agent that works reliably in production is hard. Mastering AI Agents gives you the exact architectural frameworks, workflows, and engineering practices needed to design, deploy, and scale intelligent agents that solve real-world problems.Practical Engineering: Master memory systems, tool integration, multi-agent orchestration, and system security.Production-Ready Focus: Learn how to evaluate, monitor, and maintain agents so they remain controllable and safe.Evergreen Principles: Built on core software architecture principles that stay valuable even as frameworks and models evolve.Grab your copy today and start building the next generation of intelligent software!

Pascal is more than a piece of programming history. Discover a language built for clarity, precision and disciplined thinking, then follow its evolution into modern Object Pascal. From your first program to generics, memory management and professional design patterns, this practical guide takes you from foundations to mastery.

Discover G#, a modern .NET language built for developers who want less friction and more clarity. Go from your first line of code to production-ready applications while exploring the simplicity of Go, the expressive feel of Kotlin and Swift and the power of the CLR. Practical examples and real-world guidance make every chapter count.

Regex doesn't have to feel like cryptic punctuation. Mastering Regular Expressions shows you how patterns really work, how to debug them when they don't and how to use them confidently across nine programming languages. Go beyond memorizing syntax and learn to write regex that's clear, efficient and portable.

What does it take to build distributed systems that keep working when things go wrong? Engineering Distributed Systems on the BEAM goes beyond syntax to show how Erlang/OTP turns concurrency, failure and recovery into practical design tools. Build a real system from the ground up, then learn how to scale, deploy and operate it with confidence.

Build terminal apps that feel fast, polished and built to last. Terminal Interfaces takes you from the fundamentals of how terminals work to production-ready TUIs in Go, Python and Rust, using complete examples that grow from simple programs into powerful real-world tools.

Go beyond Go syntax and learn how real systems are built. Modern Go Systems Programming with Go 1.27 takes you from core language concepts to concurrency, networking, databases, observability and deployment, with runnable examples that show how everything fits together in production-grade distributed systems.

Running LLMs locally is easy. Running them well is an engineering problem. Practical LLM Inference gets into the details that matter, from quantization and GGUF internals to GPU offloading, benchmarking and production deployment. Learn how to size hardware, find bottlenecks and build fast, reliable inference systems without the AI hand-waving.

Ready to turn the power of Artificial Intelligence into real freelance income?AI Freelancing for Beginners is a practical, step-by-step guide that shows you how to start and grow a successful AI-powered freelance career—even if you have no previous experience. Learn how to use ChatGPT, Claude, Gemini, Canva, and other AI tools to offer in-demand services, create a professional portfolio, attract clients, and deliver high-quality work with confidence.Inside, you'll discover how to choose a profitable niche, master AI prompts, win clients on Fiverr and Upwork, expand beyond freelance marketplaces, and build a sustainable business through smart systems and long-term client relationships.Whether you're a student, job seeker, working professional, or aspiring entrepreneur, this beginner-friendly guide provides practical strategies, real-world examples, and actionable checklists to help you take your first steps toward building a rewarding AI freelancing career.Your journey to becoming an AI-powered freelancer starts here.

Discover Mojo, a language that pairs Python-friendly syntax with serious systems-level speed. This hands-on guide takes you from your first program to optimized CPU and GPU workloads, with practical techniques for debugging, profiling and building production-ready software for high-performance computing and AI.

Go from your first SQL query to solving real database problems with confidence. This hands-on guide covers everything from SQL fundamentals and data analysis to advanced queries, optimization and production best practices, with practical examples that work across today’s major database systems.

Formal verification does not have to live in research papers. This practical guide shows working software engineers how to turn real requirements into precise, machine-checkable guarantees, find bugs before they reach production and bring formal methods into everyday development, from application code to distributed and security-critical systems.

AI can write code in seconds, but can you trust what it creates? Securing AI-Generated Code shows you how to uncover hidden vulnerabilities, stop risky dependencies, secure AI coding agents and build safer development pipelines. A practical guide for teams that want the speed of AI without putting security on the line.

Discover what makes Racket more than just another programming language. Mastering Racket takes you from the fundamentals to macros, concurrency, web development and custom language design through practical, runnable examples. Learn to think in Racket and unlock the ideas that make it such a powerful tool for building software.

Descubre cómo crear, diseñar e integrar música, efectos, ambientes y diálogos en videojuegos con Unity y FMOD, y ponlo en práctica con un videojuego real completo.