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  1. lego4scrum: post-covid revision
    A complete guide to #lego4scrum - a great way to teach the Scrum framework and Agile thinking.
    Alexey Krivitsky

    lego4scrum - of the most interactive ways of demonstrating Agile thinking and Scrum framework in action. This book summarises years of experiments and hundreds of lego4scrum workshops. It will let you teach Scrum in a complete new, fresh and the most fun way. This is the third most full edition with a foreword by Henrik Kniberg.

  2. Introductory Statistics with Randomization and Simulation
    OpenIntro, David Diez, Mine Cetinkaya-Rundel, and Christopher Barr

    A complete foundation for Statistics, also serving as a foundation for Data Science, that introduces inference using randomization and simulation while covering traditional methods. Leanpub revenue supports OpenIntro, so we can provide free desk copies to teachers interested in using our books in the classroom. More resources: openintro.org.

  3. Game Engine Foundations With C++
    A Practical Guide for Modern C++ Developers
    gareth thomas

    Game Engine Foundations With C++: Build Professional-Grade Game Engines from ScratchIf you’re an experienced C++ developer looking to design, build, and optimize your own high-performance game engine, this is your blueprint.Most books waste your time with beginner fluff. This one gets straight to the engineering. You’ll learn how to create your own modular, scalable, production-ready game engine—step-by-step—without filler or irrelevant toy examples.

  4. Android Development with Jetpack Compose & Kotlin (2026 Edition)
    Build Modern Apps Using Android Studio, Material 3 & Google’s Latest Tools
    A.P. Pyre

    Build modern Android applications with Kotlin and Jetpack using practical, real-world development techniques. Learn how professional Android developers structure projects, manage UI and state, and create scalable, production-ready apps.

  5. Complete C++ Programming Guide Third Edition
    Master C++ Syntax Data Structures, OOP, Templates, STL, Multithreading, and Design Patterns
    gareth thomas

    The Complete C++ Programming Guide – Third Edition Master Modern C++ with Hundreds of Exercises and Stunning Visual InfographicsAre you ready to become fluent in C++—from fundamentals to professional-grade techniques?Whether you're a beginner, a student, or a seasoned developer upgrading your C++ knowledge, The Complete C++ Programming Guide – Third Edition is your definitive resource. This fully revised and expanded edition delivers hundreds of hands-on coding exercisesrich visual infographics, and a modern, structured approach to mastering every key aspect of C++.

  6. Machine Learning for C# Developers Made Easy
    Build smart applications with ML.NET
    Fiodar Sazanavets

    Helping C# and .NET developers to learn how to do machine learning and become highly sought-after (and well-paid) AI engineers. No prior experience of ML required!

  7. LLMs in Finance:Sentiment-Analysis
    A Hands-On Guide to Using Large Language Models for Market Insights and Trading
    Pankaj Kumar

    Learn how to apply Large Language Models (LLMs) to real-world financial data. This book walks you through sentiment analysis, RAG pipelines, and trading strategies using Python and modern AI tools.

  8. Reviewing Software Systems
    with the Lightweight Approach for Software Reviews - LASR
    Stefan Zörner and Stefan Toth

    This book introduces LASR – the Lightweight Approach for Software Reviews in a practical and in-depth way. It provides detailed insights into how the method works, real-world examples, guidance on using support materials, and practical tips for your own reviews.

  9. KMP for Mobile Native Developers
    A Hands-on Guide to Kotlin Multiplatform for Android and iOS
    Santiago Mattiauda

    This book is a comprehensive guide to Kotlin Multiplatform (KMP) aimed at native mobile developers. It begins with an introduction to KMP, explaining how this JetBrains technology enables code sharing across different platforms such as Android, iOS, web, and desktop.It includes practical examples with code repositories and detailed references to official documentation. It is a valuable resource for both developers starting with KMP and those looking to deepen their knowledge in multiplatform development.

  10. You Don't Know JS Yet: Get Started
    Get to know JS
    Kyle Simpson

    It seems like there's never been as much widespread desire before to learn JS. But with a million blogs, books, and videos out there, just where do you start? Get Started prepares you for the journey ahead, first surveying the language then detailing how the rest of the You Don't Know JS Yet book series guides you to knowing JS more deeply.

  11. When Will It Be Done?
    Lean-Agile Forecasting To Answer Your Customers' Most Important Question
    Daniel Vacanti

    The definitive guide on Lean-Agile forecasting that gives you all the tools you need in order to answer your customers' most important question.

  12. SimPy: Simulação em Python
    Um guia prático
    Afonso C. Medina

    Aprenda a construir modelos de simulação de eventos discretos e de simulação baseadas em agentes utilizando o SimPy, uma biblioteca da linguagem Python.

  13. This book provides a guided tour of ML techniques utilized in process industry for plant health management. Step-by-step instructions, supported with industrial-scale process datasets, show how to develop ML-based solutions for equipment condition monitoring, plantwide monitoring, and predictive maintenance solutions. Also available at Google Play 

  14. This book powers our MicroMasters program on edX and specialization on Coursera, one of the ten most popular computer science courses on Coursera. Over half a million students have tried to solve many programming challenges and algorithmic puzzles described in this book. We invite you to join them! See the webpage of the book for more details.

  15. 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.