Leanpub Header

Skip to main content

Filters

Books

  1. Snappy Data Management
    Snappy Data Management
    Hands-on Data Management and Artificial Intelligence Lessons for Business and Social Science Students
    Colin Conrad

    Data is changing nearly everything about our world, but many people don't know where to start. This book is designed for “non-technical” people (especially students) who want a hands-on introduction to data using free or open tools.

  2. Software Engineering - The Soft Parts
    Software Engineering - The Soft Parts
    Lessons from 10 years at Google
    Addy Osmani
    No Description Available
  3. Domain Driven Design- Visual Notebook

    Domain Driven Design, DDD, Strategic Design, Tactical Design, Enterprise Application Development, Agile, Scrum, Event Storming, Domain Storytelling, Microservices, CQRS, Layered Architecture, OOP, SOLID, KISS, YAGNI, DRY, Gang of Four, Enterprise Application Architecture Patterns, TDD, BDD

  4. Go Faster
    Go Faster
    Join the thriving community of skilled Go developers!
    Ollie Phillips

    Working with Go effectively, requires proficiency and understanding beyond learning the simple syntax. It can take developers months or even years to acquire this experience, especially those coming from OOP. This book sets out to short-circuit that process and get you there faster! Includes Generics.

  5. Practical Artificial Intelligence Programming With Clojure

    This book contains both pure Clojure examples as well as examples using Java libraries built in my book https://leanpub.com/javaai/ and OpenAI APIs.

  6. Beginner's Python Cheat Sheets

    Cheat sheets can be a really helpful resource when you're learning a new language. They remind you of the syntax and concepts you've just learned, so you can focus on writing your own code instead of rereading sections of a book or rewatching parts of a video.

  7. Learn Python the right way
    Learn Python the right way
    How to think like a computer scientist
    Ritza
    No Description Available
  8. Thinking Functionally in PHP

    Approaching PHP from a functional perspective. Yes, really. (With just a pinch of category theory.)

  9. Domain-Driven Design Referenz
    Domain-Driven Design Referenz
    Eric Evans, übersetzt von Michael Plöd, Sonja Scheungrab, Christian Stettler und Eberhard Wolff and INNOQ

    Die Domain-driven Design Referenz gibt einen Überblick über die grundlegenden Pattern für Domain-driven Design. Domain-driven Design ist ein Ansatz für die Architektur und das Design von Software-Projekten, das sich konsequent nach den fachlichen Anforderungen richtet..Die Referenz wurde vom Erfinder von DDD, Eric Evans, in Englischverfasst.

  10. Domain-Driven Design: The First 15 Years
    Domain-Driven Design: The First 15 Years
    Essays from the DDD Community
    The DDD Community

    Fifteen years after the publication of "Domain-Driven Design: Tackling Complexity in the Heart of Software" by Eric Evans, DDD is gaining more adoption than ever. To celebrate the anniversary, we've asked prominent authors in the software design world to contribute old and new essays.

  11. The PowerShell + DevOps Global Summit Manual for Summiteers

    Prepare to survive Summit and take full advantage with this helpful, concise "manual."

  12. Object Oriented Design Patterns in PHP 8

    Are you a beginner or an intermediate learner who has been struggling through the maze of OOP and Design Patterns concepts of PHP and you also want to learn the cool new features of PHP 7?Then this book is for you.

  13. Mastering Software Development in R
    Mastering Software Development in R
    Roger D. Peng, Sean Kross, and Brooke Anderson

    This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. (Printed copies coming soon!)

  14. How to be a modern scientist

    A book about how to be a scientist the modern, open-source way.

  15. Report Writing for Data Science in R

    This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).