C#

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.

Dies ist die topaktuelle Auflage 10.7  dieses Fachbuchs, die am 08.07.2026 im Umfang von 827 Druckseiten erschienen ist und die aktuelle Version Blazor 10.0 in .NET 10.0.9 RTM in allen Varianten behandelt: Blazor Web Apps (Blazor Static Server-Side-Rendering, Blazor Server, Blazor WebAssembly, Blazor United) sowie Blazor Hybrid (Blazor Desktop und Blazor MAUI).

Helping C# and .NET developers to learn how to do machine learning and become highly sought-after (and well-paid) AI engineers. No prior experience of ML required!

Build production-grade RAG systems in C# — from an 80-line Hello World to a fully deployed Azure pipeline with the Microsoft Agent Framework, MCP, GraphRAG, multi-agent orchestration, eval gates, and EU AI Act-ready audit trails. 668 pages, 25 chapters, one evolving enterprise project, every line of code runnable in .NET 10.

Whether you're writing your first line of code or building production-ready applications, this book gives you the skills to succeed with C#. Learn through practical examples, real projects and proven techniques used by professional developers. Build a strong foundation and grow into a confident C# programmer.

Clean Code und hohe Testabdeckung fallen im Tagesgeschäft deiner Softwareentwicklung oft durch die Ritzen? Das könnte daran liegen, dass dir ein systematisches Vorgehen für Probleme unterschiedlichen Schwierigkeitsgrades fehlt. In diesem Buch zeige ich dir ein umfassendes Vorgehen, das classical TDD einschließt - und darüber hinausgeht.

Bridge the gap between high-level C# and raw hardware execution. Eliminate GC pauses with zero-allocation Span<T> and SIMD vectorization. Learn to build blazing-fast tokenizers and local LLM inference engines. Stop waiting for the runtime—start engineering for extreme AI performance.

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.

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An illustrated book perfect for teaching your little ones the basics of the C# programming language!

Go beneath C# and .NET—from CPU, kernel, processes and threads to IL, JIT, native code, stacks, heaps and GC. Build the runtime mental model you need before deciding where, why, and whether a system should be distributed.

Microservices aren't built with boxes on a diagram—they're built with owned truth, stable contracts, idempotent messages, and controlled failure.

Learn to build production-ready ASP.NET Core Web APIs from the ground up. Explore authentication, middleware, data access, caching, resilience, testing and deployment through practical examples and runnable C# code. Gain the skills to design secure, reliable and scalable APIs for real-world applications.