Your C# skills are worth more today than they were a year ago — if you know how to put a language model in the loop. This book shows you how, with the Microsoft Agent Framework: real tools, RAG, multi-agent orchestration, plus the hosting, observability, and safety that separate a demo from a system you ship. Nineteen chapters. 120 runnable projects. No Python detours. Just C# and .NET 10.
A practical, code-first guide to building production-ready AI agents and multi-agent systems in C# with Microsoft Agent Framework, Microsoft.Extensions.AI, tools, context, orchestration, observability, workflows, and enterprise-ready patterns.
Go beyond writing code that works. Learn what really happens inside .NET, from C# and the JIT to memory, CPU execution and the operating system. This practical guide shows experienced developers how to measure performance, find real bottlenecks and make targeted improvements that hold up in production.
A practical .NET/C# guide to building Genetic Algorithms from scratch and applying them to real-world optimization problems with 27 complete projects, visual demos, and full source code.
Unlock the power of Modern C# with the ultimate beginner's guide. Go from your very first line of code to designing custom objects and classes. Master essential concepts: data management, control flow logic, and reusable methods. Lay the rock-solid foundation for advanced AI, Azure, and Unity game development.
Follow the evolution of .NET web development from its early foundations to today’s modern ecosystem in the 4th edition of this book.
An illustrated book perfect for teaching your little ones the basics of the C# programming language!
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.
Readers will learn discrete mathematical abstracts as well as its implementation in algorithm and data structures shown in various programming languages, such as C, C++, PHP, Java, C#, Python and Dart. This book combines two major components of Mathematics and Computer Science under one roof.
High-Performance Real-Time Systems in .NET Engineering ultra-low-latency, high-throughput real-time systems with .NET, WebSockets, SignalR, Kestrel, and distributed architectures. Modern real-time applications are expected to maintain persistent connections, process massive event streams, synchronize distributed state, and deliver predictable latency under extreme concurrency.
Stop choosing between an AI that's powerful and one you can certify. From Shannon's entropy to a reproducible, auditable Industry Language Model — built in C#, wrapped in Deterministic Islands, with every number independently verified.
Forget IShape — it's time to build software that actually does something. OrderFlow takes ten classic Gang of Four design patterns and weaves them into a single, fully functional food delivery platform built with C# and .NET 10. Clone the repository, step through the production-grade code, and finally master not just how to write patterns, but when to use them (and when to keep it simple).
Quantum mechanics, the nucleus, and quantum computing — from what you already know as an engineer to a quantum computer you build in C#. Full rigour, honest limits, no hype. For the engineer who will model them.
From containers and Kubernetes to autoscaling, observability, Prometheus, Grafana, SLOs, security, and production failure. Volume III shows how distributed architecture becomes an operable, measurable, evidence-driven production system.