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  1. Game Changer: The Power of Sports Analytics
    From Player Metrics to Business Strategy—The Data Revolution in Sports
    Sameh Shamroukh

    Sports are no longer won by instinct alone. Game Changer: The Power of Sports Analytics uncovers how data, advanced metrics, and machine learning are redefining competition, strategy, and business across the sports industry. From optimizing player performance and coaching tactics to reshaping recruitment, marketing, and fan engagement, Sameh Shamroukh, Ph.D., offers a behind-the-scenes look at the analytics powering today’s winning organizations—while confronting the ethical responsibilities that come with data-driven decision-making.

  2. Shop Performance in 30 Tagen
    Der Praxisleitfaden für Shopware-Entwickler und Architekten
    Mehmet Gökçe

    Eine Sekunde längere Ladezeit kostet 7% Conversions. Lernen Sie in 30 Tagen, wie Sie Ihren Shopware-6-Shop zur Peak-Performance bringen — mit 24 Kapiteln, 68 Diagnose-Scripts und echtem Code aus 26 Jahren E-Commerce-Erfahrung.

  3. Essential Guide to Becoming a Software QA Engineer
    Everything you need to understand before stepping into the QA field
    Aleena Arshad

    This eBook is your complete guide to Software Quality Assurance, perfect for beginners and aspiring QA engineers. Learn manual testing, SDLC, test design, defect management, and Agile QA practices. Master the fundamentals to start your QA career with confidence.

  4. Data Science with Python
    Data Analysis and Prediction Algorithms with Python
    Daniel Paredes

    Discover how to become a Data Scientist at your own pace with updated content and real-world examples. From data analysis to prediction algorithms with machine learning. Includes chapters on Generative AI, Ethics, and modern Machine Learning workflows using Python.

  5. Erstellen Sie Ihr Erstes Sprachmodell
    Ein praktischer Leitfaden zu Sprachmodellen
    Hasan Degismez

    Bauen Sie Ihr erstes LLM Schritt für Schritt. Keine Installation, nur Google Colab. Verstehen Sie, warum alles funktioniert, statt nur Code auszuführen.

  6. Создайте свою первую языковую модель
    Практическое руководство по языковым моделям
    Hasan Degismez

    Постройте свою первую LLM шаг за шагом. Никакой установки, только Google Colab. Поймите, почему всё работает, а не просто запустите код.

  7. Data Science with R
    Data Analysis and Prediction Algorithms with R - Third Edition
    Daniel Paredes

    Discover how to become a Data Scientist at your own pace with updated content and real-world examples. From data analysis to prediction algorithms with machine learning. This Third Edition includes new chapters on Generative AI, Ethics, and modern Machine Learning workflows.

  8. İlk Dil Modelinizi Oluşturun
    Dil Modelleri için Uygulamalı Rehber
    Hasan Degismez

    LLM’leri sıfırdan, adım adım inşa edin. Kodu sadece çalıştırmakla kalmayın; neden çalıştığını da anlayın. Kurulum yok—Colab’da doğrudan ilerleyin.

  9. Если вы считаете калории, если вам надоело однообразие в еде, если вы ищете варианты питаться вкусно и полезно, этот сборник рецептов - то, что нужно.

  10. Build Intelligent Agents
    The Definitive Guide to Agentic AI
    Sushil Khairnar

    The future of AI isn't just about chatbots - it's about agents that think, decide, and act. Learn to build them.

  11. No Description Available
  12. Speak Up Without Freaking Out
    The Quiet Professional’s Guide to Confidence, Voice and Being Heard
    Kirshi Yin | Curious Devs Corner

    This book helps quiet professionals speak up without forcing a louder personality. You’ll learn practical ways to stay calm, think clearly, and say what you mean in meetings, discussions, and tense moments at work.

  13. A practical guide to Microsoft Desired State Configuration (DSC), the cross-platform configuration management tool for Windows, Linux, and macOS. Learn how to author configuration documents, work with built-in resources, adapters, and build custom resources.

  14. The Architect's Playbook
    5 Pillars of Production AI Agent Architecture
    Atef Ataya

    Learn how to build AI agents that actually survive production — with battle-tested patterns for cost control, reliability, and scale.

  15. Java Backend Coding Technology
    Less art, more engineering
    Sergiy Yevtushenko

    Stop debating code style. Start engineering code. Every developer brings personal preferences. Every AI tool channels different training examples. The result? Inconsistent codebases, endless code reviews, and technical debt that compounds silently. Java Backend Coding Technology introduces a radical idea: reduce the space of valid choices until there's essentially one good way to do most things. Not through rigid frameworks, but through a small set of patterns that make structure predictable, refactoring mechanical, and business logic visible. The code you write, your teammate writes, and your AI assistant generates will look the same -- because the patterns leave no room for subjective variation.