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  1. Beyond diagrams
    Capture your thoughts in diagrams, generate documentation, make them executable
    Pavel Vlasov

    Go beyond pixel-deep diagrams - generate documentation sites, make them executable, map to your problem domain, federate into a web of diagrams

  2. Frida handbook
    Learn about binary instrumentation with the Frida toolkit.
    Fernando Diaz (@entdark_)

    Learn about binary instrumentation using the Frida toolkit using practical examples. This book is not deeply focused in theory but practical use cases instead, from basic uses of the API to how to apply it in real-world scenarios. We will apply instrumentation under Linux, Windows and MacOS systems.

  3. Practical FP in Scala
    A hands-on approach
    Gabriel Volpe

    A practical book aimed for those familiar with functional programming in Scala who are yet not confident about architecting an application from scratch. Together, we will develop a purely functional application using the best libraries in the Cats ecosystem, while learning about design patterns and best practices.

  4. Production Go
    Build modern, production-ready web services in Go
    Herman Schaaf and Shawn Smith

    Production Go is the book about creating and maintaining modern production applications written in Go. It assumes prior programming knowledge, and is recommended for professional programmers.

  5. Credit Risk Modeling Working Notes
    A Collection of Presentations, Experiments, and Technical Papers
    Andrija Djurovic

    The Working Notes complement Applied Data Science for Credit Risk and Probability of Default Rating Modeling with R, offering practice-oriented insights. Based on the author’s GitHub repository, they address real-world challenges and are regularly updated to reflect ongoing developments.

  6. Unwrapping Monads & Friends
    Shining Light on Functional Programming's Scariest Concepts
    Kyle Simpson

    Are you scared by mathematical symbols or formal terms like "monad"? Unwrapping Monads & Friends offers a clear, approachable path through functional programming’s most intimidating concepts—no math degree required. If you've ever said "I kind of get it, but not really," this is the guide that finally makes it click.

  7. A rigorous treatment of linear models for self learning data scientists. This book is only available in pdf form.

  8. Regression Models for Data Science in R
    A companion book for the Coursera Regression Models class
    Brian Caffo

    This book gives a brief, but rigorous, treatment of regression models intended for practicing Data Scientists.

  9. Conhecendo Ruby
    Eustáquio Rangel de Oliveira Jr.

    Quer aprender Ruby de uma maneira bem direto ao ponto? Esse é o livro que você estava procurando. 

  10. The One Person Vibe Publishing Side Hustle
    Build a Portfolio of Small Nonfiction Books With AI, Lean Systems, and Zero Team
    Finxter

    One book rarely changes your life. A system of books can.Learn how to build a portfolio of small nonfiction titles that create leverage, audience growth, and long-term income.

  11. Swarm Intelligence: A Tactical Handbook To Agentic Advantage
    Lessons from Ant Colonies, Wolfpack Admirals, and StarCraft Champions for Leading Distributed AI at Scale
    Rhys Fisher

    Ant colonies, submarine wolfpacks, and StarCraft champions all cracked the same code: how to make distributed agents outperform centralized control. This tactical field guide translates their hard-won patterns into the SWARMS framework -- six interlocking capabilities for deploying agentic AI swarms that sense faster, strike harder, and adapt before your competitors know the game has changed.

  12. It AI'nt that hard
    A Developer's Guide to Directing Al, While Pretending You Know What You're Doing
    Manju Kiran Ravishankar

    "AI isn't psychic. It's you, if you had amnesia and had just walked into the office." "I shipped three features today. I wrote perhaps fifty lines of code myself. Some days I feel like a fraud."

  13. Reimagine, Don't Retrofit
    A Leadership Guide to AI-Driven Software Development
    Ricardo Gonzalez Vargas

    Teams are producing more code than ever. Dashboards are green. And something is quietly breaking. AI coding assistants didn't break your development process; they revealed it was already fragile. Reimagine, Don't Retrofit is a field-tested argument that the software development lifecycle itself needs to be reimagined for the AI era, from governance and metrics to team roles and delivery flow.

  14. The Maths of DeepLearning
    Understanding Gradient Descent and Backpropagation from First Principles
    Alex Carmel Punnen

    Unlock the black box of Deep Learning. This book takes you on a journey from the humble dot product to the elegant complexity of Backpropagation via Matrix Calculus. No magic, just math and code. Perfect for developers who want to understand the 'why' and 'how' behind the equations, derived step-by-step from first principles.

  15. AI Tools for Everyday Tasks
    The Complete Beginner’s Guide To Working Smarter with AI
    Igvir Ramirez

    AI Tools for Everyday Tasks: Beginner’s Guide shows how anyone can use today’s simple, affordable AI tools to reclaim 5–10 hours a week by working smarter, not harder. Written for busy professionals, students, and entrepreneurs with no technical background, the book offers clear, step-by-step guidance—no jargon or theory—on using AI to write emails and reports faster, create professional visuals without design skills, organize meetings automatically, learn new topics efficiently, and manage daily work with less stress, all supported by real-world examples, quick “try it now” exercises, and honest advice about what truly works.