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  1. Tidyverse Skills for Data Science in R
    Roger D. Peng, Carrie Wright, Stephanie Hicks, and Shannon Ellis

    Develop insights from data with tidy tools. Import, wrangle, visualize, and model data with the Tidyverse R packages.

  2. Your First Year in Code
    A complete guide for new & aspiring developers
    Isaac Lyman

    Starting a career in programming can be intimidating. Whether you're switching careers, joining a bootcamp, starting a C.S. degree, or learning on your own, Your First Year in Code can help, with practical advice on topics like code reviews, resume writing, fitting in, ethics, and finding your dream job.

  3. 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.

  4. 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!)

  5. 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.

  6. The Elements of Data Analytic Style
    A guide for people who want to analyze data.
    Jeff Leek
    No Description Available
  7. Uncensored
    A Charitable Project to Support The Open Internet
    Hunter Walk and Eric Ries
    No Description Available
  8. 势学 — Strategic Momentum Mechanics
    How Being Right Early Is Still Wrong
    Daniel Tan Fook Hao

    A novel mathematical framework turns the ancient Chinese concept of 势 (shì) into computable mechanics — and reveals why being right on average can still get you killed. From financial squeezes to marriage, from career deadlocks to raising children, 势学 changes how you see every strategic problem.

  9. Agile Coaching Qualities
    Craig Carrington, Sean Lemson, Diana Larsen, Neal A Peterson, Lorie Gordon, and Diane Brady
    No Description Available
  10. Agentic Engineering
    Designing Reliable Systems in the Age of AI
    Dr. Markus Nissl

    AI can write code faster than any human can review it. That changes the economics of engineering, but not what engineering is for. The bottleneck has moved from building to judging —and judgment cannot be prompt-engineered into a system designed for cheap proposals.

  11. There is something wrong with you. This book will not fix you. That is the first teaching.

  12. No Description Available
  13. Kaizen of the Day
    A Companion to Ishi: The Discipline of Determined Intent
    Gareth Holebrook

    One hundred Kaizens. Four phases. One discipline. Kaizen of the Day is a companion to Ishi: The Discipline of Determined Intent, built to turn the Ishi Spiral into daily practice. Each entry is small, bounded and practical. Decide. Forge. Persist. Reflect. Read in sequence or open to the phase that matches the problem in front of you. This is not a book of motivation. It is a book of governed action.

  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. TLDR: Data Structures and Algorithms
    From Knowing Python to Cracking Leetcode Patterns
    John G

    A book designed to help you transition from merely knowing Python to cracking Leetcode patterns. This book explains core DSA concepts through clear, intuitive analogies and walks you through the most important Leetcode patterns. If you're aiming to ace your next coding interview, this is the book I wish I had when I started.