Books

Dies ist die top-aktuelle Version 14.9 dieses Fachbuchs vom 16.10.2026 auf dem Stand Entity Framework Core 10.0.13.

Your ORM works until it doesn't: a query returns ten thousand duplicated rows, a migration refuses a partitioned table, or the feature the product needs is one PostgreSQL has had for years. Twenty-one chapters that close the gap — LINQ translation, query plans, JSONB, full-text search, PostGIS and pgvector, then auditing, multi-tenancy and deployment. Every listing run against a live database. Every output captured, never typed.

Unleash the power of Vim in Visual Studio Code, boost your productivity and become an even more awesome developer. You can read this book free online! If you enjoy it and find it useful, share it and consider buying a copy to help me sustain my authoring efforts.

Everywhere you look, programming languages are gaining functional features. The problem is that it's not the individual features that make functional programmers happy, it's the way that your approach to writing software and the features work together to help you write simple code to solve interesting problems. This concise, practical ebook will help you discover why F# is such a popular language with those who have spent time learning its secrets. 

Ready to move beyond the hype and build real applications with Large Language Models? Learn the practical patterns that work, straight from my own failures and successes. Using C# and Semantic Kernel, I'll show you how to craft AI applications that deliver value—not just demos. From enhancing LLMs with custom tools to orchestrating multi-agent systems, you'll discover proven approaches that scale. Skip the theory and start building production-ready AI features today.

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.

A free, developer-friendly guide to prompt engineering in C# — no Python required. Learn how LLMs work, structure reliable prompts, and build real workflows (code review, test generation, docs) using Microsoft.Extensions.AI, LM Studio, OpenAI, or Azure AI Foundry. Seven chapters. Seven runnable .NET 10 projects. Zero hype. Just dotnet new console and working 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.

The software landscape is more crowed than ever! New frameworks seem to arrive weekly.  There are tons of books out there about mastering specific frameworks, but here is one to help you master the one constant factor, no matter where you are:  constructing the source code. Build great things in any programming notation; the rules are inside...

A production crisis. Three developers. Fifty cinematic comic lessons. Master Java threads, race conditions, synchronization, and deadlocks through an unforgettable manga-style adventure.

Learn C# and .NET through visual explanations of program execution, types, objects, asynchronous work, testing, and practical application development.

Kill N+1 queries, read EXPLAIN-friendly EF patterns, and ship faster ASP.NET APIs with a dense EF Core performance cookbook.

Engineering ultra-low-latency, high-throughput real-time systems with .NET, WebSockets, SignalR, Kestrel, and distributed architectures.Modern real-time applications must maintain persistent connections, process massive event streams, synchronize distributed state, and deliver predictable latency under extreme concurrency.High-Performance Real-Time Systems in .NET is a deep technical guide to designing, optimizing, profiling, and operating real-time systems built on the modern .NET ecosystem.Rather than treating real-time communication as a simple framework feature, this book examines the entire engineering stack, from memory management and network transports to WebSockets, SignalR internals, distributed messaging, Kubernetes, observability, and large-scale load testing.

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.

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.