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  1. Construire Tansa avec l’IA
    Construire Tansa avec l’IA
    Apprendre l'architecture logicielle en construisant une application Bitcoin réelle avec l'intelligence artificielle
    Victor PEREZ

    L’intelligence artificielle peut écrire du code, mais elle ne décide pas seule de l’architecture. Apprenez pas à pas à concevoir une véritable application d’analyse Bitcoin avec Ruby on Rails, PostgreSQL et l’IA, même si vous débutez en programmation.

  2. AI-Augmented Test Design: From Prompts to Test Suites
    AI-Augmented Test Design: From Prompts to Test Suites
    Prompt Engineering, AI Output Curation, and Strategic Test Design
    Yuri Syuganov

    Stop writing every test by hand. Direct AI like an editor-in-chief — prompt, generate, curate — without ever shipping a test you don’t understand.

  3. The Atomic Engine: Applied Reactor Physics & Computational Simulation
    The Atomic Engine: Applied Reactor Physics & Computational Simulation
    Are you ready to move from theoretical equations to building real-world nuclear simulators?
    AhmedAdawy

    Ready to move from theoretical equations to building real-world nuclear simulators? Discover the complete roadmap to translating complex neutron diffusion equations and reactor kinetics into efficient, professional Python code using NumPy and Numba. This book bridges the gap between rigorous nuclear physics and high-performance computational modeling to elevate your engineering skills.

  4. Agent Skills for Browser Automation: The Complete Guide
    Agent Skills for Browser Automation: The Complete Guide
    Mastering AI-Augmented Browser Test Automation with Agent Skills, the Playwright CLI, and WebDriver BiDi
    Yuri Syuganov

    Teach an AI coding agent to drive a real browser. The SKILL.md format, the Playwright CLI, first-party Test Agents, and the token economics that made skills beat MCP.

  5. Python Mastery
    Python Mastery
    From Beginner to Intermediate Through Real Projects, Problem Solving, and Practical Coding
    Umer

    Learn Python the way professional developers actually do. Build real projects, solve practical problems, master debugging, and develop the mindset of a software engineer with this beginner-to-intermediate guide designed for lasting skills—not just syntax.

  6. The Parramatta Pact
    The Parramatta Pact
    Chinmoy Mukherjee

    In the golden haze of Parramatta nights, nine women traded corporate exile for fevered surrender—and received a gift no contract could contain. One manager. Nine sons. A pact sealed in sweat, silk, and masterful deception. The Parramatta Pact: where ambition meets the body’s undeniable truth.

  7. Polako, molim
    Polako, molim
    Визуальный русско-сербский разговорник для путешествий и повседневной жизни в Сербии
    Andrei Smirnov

    Визуальный русско-сербский разговорник: 38 страниц инфографики, фразы латиницей, кириллицей и по-русски. Для путешествий и жизни в Сербии.

  8. Fundamentals of Small Language Models (SLMs)
    No Description Available
  9. Data Transformation with Power Query
    Data Transformation with Power Query
    Self-Service ETL, Data Preparation Pipelines, and the M Language for Analysts
    fru kingsly

    Stop cleaning the same data every month. Learn how to automate data preparation with Power Query, build professional ETL pipelines, master the M language, and create refreshable, auditable workflows that prepare data for Excel, Power BI, and modern analytics.

  10. Neural Networks with Python, Second Edition
    Neural Networks with Python, Second Edition
    Explore Transformers, ViTs, Diffusion, KANs, and SSMs using Python, NumPy and PyTorch
    GitforGits | Asian Publishing House

    We'll stick to five libraries, not because more would be a problem, but because keeping it simple shows how well we can organise things. When you download MNIST with just the standard library, you finally see what a dataset loader was hiding. If you write attention as four lines of NumPy before you ever call a PyTorch module, it's no longer a magic process but just plain arithmetic.

  11. Executable Knowledge Architecture (EKA) - VOLUME 2 -- Semantic Relationships
    Executable Knowledge Architecture (EKA) - VOLUME 2 -- Semantic Relationships
    Mastering Object Properties and Ontology Structures -- Chapters 09-13
    Xiaoqi Zhao

    Turn a static class hierarchy into a real semantic graph: object properties, inverse properties, property characteristics, and domain and range, all hands-on in Protege.

  12. From Contract to Container
    From Contract to Container
    Grigorios Agathangelidis

    Ship the NEXUS-1 backend for real: a genuine SQL Server on every test run, a dispatcher proven under a killed process, structured logs with a correlation id, and a CI gate that will not package a red build. Two hundred tests, one Dockerfile, one honest boundary.

  13. Executable Knowledge Architecture (EKA) - VOLUME 1 -- Semantic Foundations
    Executable Knowledge Architecture (EKA) - VOLUME 1 -- Semantic Foundations
    Learning Ontology Engineering through Protégé and Pizza.owl -- Chapters 00-08
    Xiaoqi Zhao

    Master Ontology Engineering with Protégé and the EKA Framework—Volume 1 of a multi-volume series that teaches ontology engineering hands-on through the Pizza.owl tutorial and connects it to a modern framework for building executable semantic systems.

  14. From First Principles: Thinking About Prompt Engineering
    From First Principles: Thinking About Prompt Engineering
    How Context Shapes LLM Behavior—and How to Make Its Outputs More Reliable
    Elleira
    No Description Available
  15. Scaling the Wall
    Scaling the Wall
    A Survey of the Riemann Wall, and the Walls Beside It
    John Maggio

    A dozen great roads to the Riemann Hypothesis. Each one climbed honestly. Each one shown exactly where it is turned back. The advanced survey at the summit of the trilogy — the five proven faces of RH, the walls beside it, and the precise reason each road stops.