Books

In unethical software, not every line of code is written with good intentions. Unethical Software Engineering: Dark Patterns exposes how to manipulate users, drive profits, and evade accountability. From covert surveillance, monetization at all costs, digital fraud, ranking manipulation, all the way to unethical artificial intelligence practices, this scary book unveils how these "dark patterns" exploit human beings, erode trust, and disrupt digital ethics.Whether you're a developer, an architect, a tech enthusiast, or simply a concerned user, this book will change how you think about your daily apps — and inspire you to demand better. By helping you to draw the line between what is acceptable and what is questionable, Unethical Software Engineering: Dark Patterns shines a light on the digital dark side of software engineering where profits are prioritized over people.

? What’s New in Release 13? Unlock the full potential of AI with the Generative AI Professional Prompt Engineering Guide—your ultimate resource for mastering prompt engineering and generative AI. Whether you're a beginner or an expert, this guide is more than just a book. It’s an evolving learning platform packed with the latest resources and tools to help you stay at the forefront of AI innovation.This AI‑driven learning platform uses AI tools to make it much more than a book. What’s New in Release 13?  ✅ Chapter 14 NotebookLM: The Guide’s Learning Platform Book Companion GPT, 50+ hours of additional learning from 6 different companion podcasts and Podcast reviews Once you purchase it you will receive every future release of the book! New release ~ every month.

Managing an estate of devices on the network has always been a challenge to infrastructure administrators.  In today’s world, we deal with real threats from bad actors, a multitude of ever-changing devices, and complex remote work scenarios driven by Covid-19. 

Aprende los conceptos básicos del Machine Learning y avanza poco a poco con teoría y divertidos ejercicios prácticos en Python a niveles intermedios y avanzados hasta llegar al Deep Learning.Tu camino para convertirte en un Científico de Datos comienza aquí

This book is dedicated to all of those IT Pro’s out there that have to troubleshoot Windows Server environments on a daily basis.  We know this can be a tedious task, and sometimes our best friend, “Google” just doesn’t have all the answers.  We have dug into the vaults to find these solutions to problems you might have seen or will see.  

This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. (Printed copies coming soon!)

Effective Code Review Tips and Tricks

Are you interested in starting or returning to Machine Learning? This book offers a concise, straightforward view into the field and fundamental techniques that see use even in high-level career roles. Through a combination of examples, math and coding projects, the book will grow the reader's confidence in being a Machine Learning practitioner.

Svelte es un soplo de aire fresco en el mundo del Desarrollo Web, dominado por React y Vue. Apuesta por evitar que escribas código repetitivo e inútil. Su sencillez hará que vuelvas a amar la Programación Web.

Want to learn the basic concepts of functional programming on simple and straightforward examples? This book is your trusted guide through all the new ideas you need to grasp as a beginner in the world of pure functions, closures, immutability, idempotence and other more or less obscure topics.

Este livro questiona a complexidade acidental em sistemas modernos e apresenta V (Vlang) como alternativa pragmática: compilação instantânea, binários de ~1MB, zero dependencies, performance de C com sintaxe legível.Migre scripts bash críticos sem perder a sanidade. Suba web servers em 200 linhas. Automatize backups criptografados. Escolha entre JSON/YAML/TOML baseado em custo operacional real, não em hype. Simplicidade não é limitação — é disciplina. MTTR menor. Onboarding mais rápido. Menos incidentes às 3h da manhã.Para SREs, DevOps e desenvolvedores que valorizam código compreensível mais que abstração "elegante". Para quem já perdeu horas com dependency hell e quer alternativas que funcionam. Compilado de artigos que reúne código funcional, benchmarks honestos e decisões arquiteturais documentadas. Sem promessas milagrosas. Sem evangelização. Apenas tradeoffs claros para quem opera sistemas reais.

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.

"Data Science Project: An Inductive Learning Approach" provides a comprehensive methodology for data science project development, emphasizing software engineering principles essential for reliable solutions. Dr. Filipe Verri, a senior data science project manager, guides readers through the origins, scope, and key concepts of data science. This book covers machine learning, data handling, and rigorous validation techniques, all essential for preparing readers to tackle complex, real-world projects.