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  1. Effective Kotlin
    Effective Kotlin
    Best practices
    Marcin Moskała

    Effective Kotlin summarizes the best practices and experiences of the Kotlin community, together with a deep explanation of some lesser-known Kotlin functionalities. All of the best practices are presented as simple rules with detailed explanations.

  2. Four-Phase Orchestration
    Four-Phase Orchestration
    Engineering Idempotent PowerShell for Windows Endpoint Automation
    Owen Heaume

    A four-phase discipline for PowerShell automation that has to actually work, built around one real, escalating case study from cover to cover.

  3. Mastering Angular Signals
    Mastering Angular Signals
    A Practical Guide to Modern Reactivity, Performance, and Migration
    Muhammad Ahsan Ayaz

    Unlock the full potential of modern Angular with Signals ... now stable in Angular v22. Angular's reactivity model is going through its biggest shift yet, and Signals are at the heart of it: simpler, faster, more predictable apps. This fully updated guide takes you from the fundamentals to advanced mastery ... the core signal, computed, and effect, the new linkedSignal, resource/httpResource, and Signal Forms ... plus a practical path for migrating off Zone.js and RxJS.

  4. The Cybernetic Enterprise
    The Cybernetic Enterprise
    How to Build a Future-Ready Organization
    Romano Roth

    Most enterprises can deliver fast, but few can adapt at scale.The Cybernetic Enterprise introduces a unifying operating model that embeds AI, feedback loops, and platform thinking into the DNA of your organization. Learn how to build a system that senses change, learns continuously, and transforms disruption into strategic advantage.

  5. Building Large Scale Web Apps
    Building Large Scale Web Apps
    A React field guide
    Addy Osmani and Hassan Djirdeh

    In this book, you'll uncover strategies that industry professionals use to build scalable, performant, and maintainable React applications, all without becoming overwhelmed by complexity.

  6. The Art of Hua Yu Xingyi Liu He Ba Fa Quan
    The Art of Hua Yu Xingyi Liu He Ba Fa Quan
    As taught by Liang Zhipeng, Sun Di & Moy Linshin
    Olivier Perron

    Presenting the Liu He Ba Fa Quan Routine of Masters Liang Zhipeng, Sun Di and Moy Linshin for the first time in writing, With detailed descriptions and pictures of every movement of the routine.For all students of Moy Linshin, Sun Di, LIang Zhipeng or their students.

  7. Domain-Driven Design in PHP - 2n Edition
    Domain-Driven Design in PHP - 2n Edition
    Discover DDD, Architectural Styles, Tactical Design Implementations, and Bounded Context Integration with PHP 8.5 examples
    Carlos Buenosvinos, Christian Soronellas, and Keyvan Akbary

    Master Domain-Driven Design Tactical patterns: Entities, Value Objects, Services, Domain Events, Aggregates, Factories, Repositories and Application Services; with real examples in PHP. Explore the advantages of Hexagonal Architecture and understand Strategic design with Bounded Contexts and their integration through REST and message queues.

  8. Kubernetes 101
    Kubernetes 101
    Learn the basics of Kubernetes and container-based infrastructure.
    Jeff Geerling and Katherine Geerling

    If you've dabbled in containers and infrastructure or DevOps but don't know why Kubernetes is so popular, or how to get started with it, this is your book! Learn the basics of Kubernetes quickly and efficiently, with real-world application deployment examples.

  9. Aprendiendo Git
    Aprendiendo Git
    ¡Domina y comprende Git de una vez por todas!
    Miguel Angel Durán García

    Git no es complicado... ¡Si lo entiendes! ? ¿Sientes que sabes usarlo porque has memorizado todos los comandos que necesitas? ¡Pero no entiendes qué hace cada cosa y por qué! Así es normal que, cuando exista un problema, te cueste resolverlo. ¡Con este libro vas a entender de una vez por todas todo lo que es Git y cómo sacarle provecho!

  10. Windows 10 System Programming, Part 2
    No Description Available
  11. Graph Engineering for AI Agents
    Graph Engineering for AI Agents
    Building Reliable, Scalable Agent Systems with Computational Graphs
    Steve Publications

    AI agents become truly powerful when they can reason, adapt and recover instead of following a fixed sequence of steps. This book shows you how to design intelligent agent systems with computational graphs, giving you the tools to build scalable, reliable applications that can handle real-world complexity with confidence.

  12. Codex CLI: The Definitive Guide
    Codex CLI: The Definitive Guide
    From First Prompt to Production Workflows
    Steve Publications

    Master Codex CLI from your first prompt to production-ready AI workflows. Learn how to automate coding, streamline development, and use OpenAI's terminal-native coding agent with confidence.

  13. Business Analysis & Requirements Engineering
    Business Analysis & Requirements Engineering
    Innovating Your Products and Processes For Sustainable Success
    Peter Hruschka

    We can find a solution to every problem – if we can agree on what exactly the problem is. Understanding problems and communicating requirements is the subject of this book. Many different terms are used for this (business analysis, system analysis, requirements engineering, etc.) and there are many job titles for those involved. Business analysis and requirements engineering are two sides of the same coin: as an entrepreneur, you want to streamline your organizational and operational structures and make them more effective. As a product developer, you want to find unique selling points for your existing or new products, whether it's price, quality, or performance. As an IT department, you want to understand these requirements in order to deliver great products and systems. This book presents a pragmatic and agile approach to dealing with requirements. It provides you with methods, notations, and many practical tips for effectively handling requirements between clients and contractors.

  14. Exploratory Data Analysis with R

    This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies. This book is based on the industry-leading Johns Hopkins Data Science Specialization.

  15. Functional Programming in Python

    Python's best kept secret is its built in support for functional programming. Even better, it allows functional programming to be blended seamlessly with procedural and object oriented coding styles. This book explains what functional programming is, how Python supports it, and how you can use it to write clean, efficient and reliable code.