Books

Este e‑book foi criado para desenvolvedores que desejam dominar a arte de construir APIs robustas, escaláveis e profissionais usando .NET Core. Se você já trabalha com Visual Studio ou Visual Studio Code e quer elevar suas habilidades para o próximo nível, você está no lugar certo.

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!

Unlock the secrets to skyrocketing website traffic, mastering SEO, and dominating Google’s first page with practical strategies, expert insights, and long-term growth techniques.

The seven case stories in this book show how these companies dealt with situations that the usual approach didn't cover. Whether it was rethinking how to predict engagement, estimating demand in uncertain conditions, or containing operational breakdowns before they spiraled, the people behind these stories had to adapt quickly, think clearly, and act with purpose.

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.

Learn how to analyze .NET application and service crashes and freezes, navigate memory dump space (managed and unmanaged code), and diagnose corruption, leaks, CPU spikes, blocked threads, deadlocks, wait chains, resource contention, and much more using WinDbg on Windows and LLDB on Linux. Covers 22 .NET memory dump analysis patterns, plus the additional 21 unmanaged patterns.

Are you ready for the digital revolution? "Top Digital Skills You Need in 2025" is your all-in-one guide to mastering the most powerful skills in tech—from AI and data analytics to cloud computing, cybersecurity, no-code tools, and digital marketing. Whether you're starting out or scaling up, this book gives you a clear, practical path to thrive in the future of work.Unlock your potential, future-proof your career, and lead the digital era—one skill at a time.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, debugging, crash dump analysis, software trace and log analysis, malware analysis and memory forensics written in November 2011 - May 2014.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about memory dump analysis, software trace and log analysis, software troubleshooting, and debugging written in November 2010 - October 2011.

This book is a complete guide for .NET developers who want to discover the latest innovations in Visual Studio 2022. Those new to Visual Studio 2022 get to grips with its full functionality, while experienced users will explore its new features and updates.

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.

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you’ll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.