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  1. Design Patterns in Modern Java

    Java has changed. Have your patterns kept up?The Gang of Four wrote their landmark patterns in 1994 — when Java didn't exist, generics were a decade away, and "concurrency" meant carefully managing a handful of platform threads. Thirty years later, Java 21 through 25 has transformed the language: records replace boilerplate classes, sealed interfaces model closed type hierarchies with compiler enforcement, pattern matching eliminates entire categories of unsafe casting, and virtual threads make a million concurrent tasks not just possible but routine.Modern Java Design Patterns bridges that gap. Every classic pattern is shown first in its original form, then systematically rebuilt with the language features that exist today. The result is code that is shorter, safer, more expressive, and immediately recognisable to any team working on a modern Java codebase.

  2. Effective Software Engineering Management
    Effective Software Engineering Management
    Mastering the art of leading Software Engineering teams
    Addy Osmani

    Turn your engineering team into a force multiplier, not a bottleneck. This book gives current and aspiring engineering managers practical frameworks, questions, and examples for everything from one on ones and feedback to scaling teams and navigating crises.

  3. Aprende Machine Learning en Español
    Aprende Machine Learning en Español
    Teoría + Práctica Python
    Juan Ignacio Bagnato

    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

  4. PowerShell 101
    PowerShell 101
    The No-Nonsense Guide to Windows PowerShell
    Mike F. Robbins

    This book starts with the basics of PowerShell and uses a step-by-step approach to build up to complex concepts. Whether you're a beginner or an experienced user, this book will help you become more proficient with PowerShell. By the time you finish this book, your skills will be as well-integrated as the seamless components in the cover artwork.

  5. Windows Everywhere
    Windows Everywhere
    The rise and fall of the most important software platform of all time
    Rafael Rivera and Paul Thurrott

    This is the story of Microsoft Windows, but told in a different way and from a different perspective. It is the story of the aspirations that Microsoft had for the platform over time. Object-Oriented Programming in the era of “Cairo.” The brief moment when the .NET craze engulfed the company. The touch-first mania of Windows 8. And so much more.

  6. Graph Engineering: The Loop That Remembers

    The loop writes code and clears context. The commit log records MAX_RETRIES = 3, but the reason it's three vanished on Friday night. The artifact survived; the decision evaporated.The Loop That Remembers inverts the premise: memory isn't the sixth piece, it's what the loop exists to produce. Two graphs, a promoted lattice, bounded context, and an evaluator checking claims against edges.

  7. Rust for Linux Programming
    Rust for Linux Programming
    Build kernel modules, drivers, file systems, networking, and memory using Rust's ownership, traits, and RAII
    GitforGits | Asian Publishing House

    I wrote this book to show exactly what happens when you add Rust to the kernel. Not as a toy. Not as a single driver in a conference demo. It's a full module that covers process management, memory allocation, file systems, networking, device drivers, inter-process communication, and even machine learning inference. It's all built on safe abstractions, all compiled into one loadable binary, all tested on a running kernel. You'll find that each chapter adds new source files to the same module.

  8. Beyond Context Graphs: Agentic Memory, Cognitive Processes, and Promise Graphs
    Beyond Context Graphs: Agentic Memory, Cognitive Processes, and Promise Graphs
    Enterprise level agent in user pocket
    Volodymyr Pavlyshyn

    AI engines are booming, and the more we work with agentic systems, the more we see that we need something to make them work at the enterprise level. We're quite active in exploring ideas around context graphs, decision traces, and supporting explainability—giving agents the ability to make more aware and company-aligned decisions.But this makes sense not only for enterprises, but for users and individuals building personal agents as well. Unfortunately, we have zero-to-none inclination on how to actually build a context graph.I'll try to explain how to build something like a context graph—but go beyond it. I deeply believe that to make this work, we need specific agentic memory and a set of cognitive processes that truly help agents use this memory and learn from experience and data.That's why this is the Book: Beyond Context Graphs—with a focus on real-life enterprise tasks and how to make agents make better decisions and, let's say, hallucinate less.

  9. The Art of Max for Live
    The Art of Max for Live
    Dive into Max to master Max for Live and push the limits of Ableton Live
    Julien Bayle

    Unlock the full power of Ableton Live with Max for Live.This comprehensive guide teaches you how to create your own instruments, effects, generators, and interfaces, while diving into the rich Max environment. Learn to take full control of Live through the Live Object Model (LOM), and build your Live MIDI Tools to design your own creative workflow. A unique springboard to push your creative boundaries and transform Live into a fully customized sonic laboratory.(Version française disponible)

  10. Creating TUI Applications with Textual and Python

    Learn how to create amazing lightweight user interfaces using Python and Textual in your terminal! You will learn the basics of Textual and then create ten different applications.

  11. Prompt Patterns
    Prompt Patterns
    Timeless Design Patterns for Effective Communication with Large Language Models
    Bilgin Ibryam

    Prompting is a design problem, not a syntax problem. Prompt Patterns introduces durable patterns for reliable work with large language models.

  12. Supervised Machine Learning for Science
    Supervised Machine Learning for Science
    How to stop worrying and love your black box
    Christoph Molnar and Timo Freiesleben

    This book explores supervised machine learning for scientific research, addressing its limitations in interpretability, causality, and uncertainty quantification. By unifying philosophical justification with practical solutions, it provides a roadmap for turning machine learning into a rigorous tool for science.

  13. Certainty by Construction
    Certainty by Construction
    Software and Mathematics in Agda
    Sandy Maguire
    No Description Available
  14. Fundamentals of HTML, SVG, CSS and JavaScript for Data Visualisation

    Learn the fundamentals of HTML, SVG, CSS and JavaScript for building data visualisations on the web. Ideal if you're wanting to learn D3.js or you use Python and/or R and wish to get started with HTML, SVG, CSS and JavaScript. Straight to the point with lots of code examples.

  15. Get Your Hands Dirty on Clean Architecture (2nd edition)
    Get Your Hands Dirty on Clean Architecture (2nd edition)
    A Hands-on Guide to Creating Clean Web Applications with Code Examples in Java
    Tom Hombergs

    A good software architecture should keep the cost of development low over the complete lifetime of an application. This book discusses how the Hexagonal Architecture style tries to fulfill this goal and translates the concepts into actual code to provide inspiration for software developers.