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  1. Codex Politica
    A Resource Primer for Deciphering the Digital Political World
    Christopher Davino

    In a time when narratives move faster than facts and politics unfolds across screens, networks, and data streams, Codex Politica serves as a clear, non-partisan guide to understanding modern power. This resource manual teaches readers how to research politics with discipline—how to evaluate sources, verify information, interpret law and policy, track global events, and recognize influence campaigns and digital propaganda.

  2. Java Programming for Raspberry Pi: A Hands-On Guide to Electronics and IoT Projects (2026 edition)
    A lot of small and bigger examples to introduce you to Java, JavaFX, Pi4J, Spring, Queues... with hardware projects on the Raspberry Pi.
    Frank Delporte

    Get started with the latest versions of Java, JavaFX, Pi4J, Spring, and so much more. Learn the power (and fun!) of experimenting with electronics. All explained in many small and easy-to-understand examples.

  3. Introductory Statistics for the Life and Biomedical Sciences
    OpenIntro, Dave Harrington, and Julie Vu

    Introduction to Statistics for the Life and Biomedical Sciences is the 4th official OpenIntro book and has been written to be used in conjunction with a set of self-paced learning labs. These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language.

  4. Are Your Lights On?
    Gerald M. Weinberg

    Whether you are a novice or a veteran, this powerful little book will make you a more effective problem solver. Anyone involved in product and systems development will appreciate this practical illustrated guide, which was first published in 1982 and has since become a cult classic.

  5. The practical guide to AI-first teamwork. Includes access to the 'CollabAI AI companion' that helps you run your first session immediately. Most teams have fast individuals—but a slow system. AI can change that. CollabAI is the manual for teams who want to stop waiting and start flowing. It moves beyond "chatting with a bot" to a new collaborative rhythm where humans and AI build, test, and decide together in real time. Inside, you’ll discover:The Framework: How to run CollabAI sessions that compress weeks of work into hours.The Science: Why "System 2 Rituals" and psychological safety are the hard requirements for speed.The Scale: How to apply Joe Justice’s principles (Justice Boards & DSM) to run entire organizations without managers.The Future: How to transition safely to Agentic AI workflows using the Agion Pattern.Start optimizing the flow.

  6. Automation in testing is a lot more than just recording a test or writing code, it takes planning and lots of other front-end tasks in order for it to be successful. In this book you'll learn about the things you need to do first before writing a line of code.

  7. Interpreting Machine Learning Models With SHAP
    A Guide With Python Examples And Theory On Shapley Values
    Christoph Molnar

    Master machine learning interpretability with this comprehensive guide to SHAP – your tool to communicating model insights and building trust in all your machine learning applications.

  8. CMP for Mobile Native Developers
    A Hands-on Guide to Compose Multiplatform for Android and iOS
    Santiago Mattiauda

    ? CMP for Mobile Native Developers is the ultimate hands-on guide for Android and iOS developers ready to master Compose Multiplatform without compromising native quality. ? Learn to build shared, modern UIs with navigation, dependency injection, UI testing, and native component integration. ? If you're already fluent in native development, this book will elevate your skills for efficient and elegant cross-platform app creation.

  9. This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.

  10. Actionable Agile Metrics Volume II
    Advanced Topics in Predictability
    Daniel S. Vacanti

    The second volume in a series on how to use flow metrics and analytics to get the predictability your customers crave.

  11. Gestion des données spatiales avec DuckDB
    des bases du SQL à l’analytique géospatiale avancée
    Qiusheng Wu

    Libérez la puissance de DuckDB pour l’analytique géospatiale moderne. Ce guide pratique aide les professionnels du SIG à maîtriser une gestion efficace des données spatiales, en transformant d’énormes jeux de données réels en informations exploitables grâce au SQL, à Python et à l’extension spatiale de DuckDB. Une édition papier couleur est disponible sur Amazon.

  12. The BDD Books - Discovery (Japanese Edition)
    BDD/ATDDの第1ステップ:具体例を使って振る舞いを探索する
    Yuya Kazama, Gáspár Nagy, and Seb Rose

    ウクライナ難民を支援 - 2022年5月末まで延長! この本の売り上げの50%は、 https://unicef.hu/veszhelyzet-ukrajnaban と https://int.depaulcharity.org/fundraising-for-depaul-ukraine/ に寄付されます。 本書籍は、振る舞い駆動開発(Behavior Driven Development, BDD)や受け入れテスト駆動開発(Acceptance Test-Driven Development, ATDD)の発見フェーズを最大限に活用する方法を提供します。

  13. Designing Deterministic Systems with Modern C++
    Host-First Development on Linux
    Mark E. Wilson

    Learn how to design embedded systems the sane way: on your Linux host, with modern C++, predictable timing, clean interfaces, and no unnecessary complexity.

  14. Discrete Mathematics for Computer Science
    Alexander S. Kulikov, Alexander Golovnev, Alexander Shen, Vladimir Podolskii, and Marie Brodsky

    This book supplements the DM for CS Specialization at Coursera and contains many interactive puzzles, autograded quizzes, and code snippets. They are intended to help you to discover important ideas in discrete mathematics on your own. By purchasing the book, you will get all updates of the book free of charge when they are released.

  15. GeoAI with Python
    Una guida pratica all’intelligenza artificiale geospaziale open source
    Qiusheng Wu

    I satelliti acquisiscono ogni giorno enormi volumi di immagini, ma trasformare i pixel in conoscenza richiede l’IA. Questo libro ti insegna a costruire, addestrare e applicare modelli di deep learning a immagini satellitari reali utilizzando Python e strumenti open source, con 23 capitoli di codice eseguibile che puoi utilizzare fin da subito. Tutti gli esempi di codice sono disponibili gratuitamente su https://book.opengeoai.org.