.NET

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.

A production-tested guide for senior .NET developers, tech leads, and architects who want real AI productivity gains - not another tutorial that breaks down the moment you leave the demo.

You know next to nothing about WPF but need to start coding your next application within a week. Don't worry: this book has you covered.

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

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. 

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.

Elegant Design Principles distils decades of design wisdom into 95 actionable principles spanning core OO, SOLID/GRASP, package design, reliability and a forward‑looking AI‑first approach. Explore the Design Pyramid to understand how quality attributes, smells and principles interconnect; learn to manage complexity through high cohesion, low coupling and clear abstractions; and adopt modern practices like test‑driven development and semantic modularity. From novices seeking a roadmap to experts embracing AI‑assisted workflows, this book equips you to create systems that are robust, maintainable and elegant—today and in the AI‑driven future.

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...

Learn about working efficiently with memory in .NET.

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.

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.

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.