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  1. Docker: Érase Una Vez
    Docker: Érase Una Vez
    Crear, compartir y ejecutar aplicaciones modernas
    Manuel Morejón

    ¿Kubernetes te parece difícil? Esta es la precuela técnica que necesitas. Deja de copiar Dockerfiles a ciegas y domina los cimientos: imágenes, redes, volúmenes y Docker Compose. La guía definitiva en español para entender los contenedores y construir la base sólida de todo Ingeniero DevOps.

  2. 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).

  3. Executive Data Science
    Executive Data Science
    A Guide to Training and Managing the Best Data Scientists
    Brian Caffo, Roger D. Peng, and Jeffrey Leek

    This book teaches you how to assemble and lead a data science enterprise so that your organization can move towards extracting information from big data. This book is based on the acclaimed Johns Hopkins Executive Data Science Specialization. Printed copies of this book are available through Lulu.

  4. Claude Code
    Claude Code
    Una guida pratica per chi vuole iniziare ad usare Claude Code in modo professionale
    Maurizio Pelizzone

    Una guida pratica a Claude Code, scritta con Claude Code.Su Claude Code circolano due tipi di contenuti: video YouTube che si fermano ai primi dieci minuti e thread social che promettono "guide complete" in cambio di un'email. Questo libro nasce dall'esigenza opposta: avere finalmente un manuale che spieghi lo strumento per intero, senza hype e senza muri di lead generation.140 pagine costruite a partire dalla documentazione ufficiale Anthropic, verificate su Claude Code v2.1.123, con esempi reali invece che screenshot da marketing. Si parte dall'installazione su macOS, Linux e Windows, si passa per Plan Mode, CLAUDE.md, gestione del contesto, sicurezza dei permessi, Skill personalizzate, subagent custom, integrazione MCP, e si arriva al prompt engineering aggiornato al 2026 — quello vero, dopo che le formule magiche del 2023 si sono sgonfiate.Il libro è pensato per due lettori in parallelo: lo sviluppatore senior che vuole integrare Claude Code nel proprio workflow di produzione, e chi si avvicina per la prima volta agli strumenti AI agentici e ha bisogno di una mappa. I capitoli iniziali costruiscono le basi senza dare nulla per scontato; quelli avanzati entrano nei meccanismi che fanno la differenza tra un uso superficiale e uno strategico.Tre cose che troverai e che altrove fatico a trovare:Il prompt engineering riletto al 2026. Niente ruoli posticci, niente "agisci come un esperto di...". Le tre leve che contano davvero — istruzioni esplicite, contesto adeguato, esempi curati — applicate al contesto specifico della CLI.Workflow reali, non demo da slide. Esempi concreti su WordPress e Node.js presi da progetti veri, non da repository giocattolo.In apertura c'è una prefazione scritta da Claude Opus, a cui ho dato il manoscritto completo chiedendogli un commento onesto, anche dove il libro non funzionava. È rimasta lì come l'ha scritta: è il modo più trasparente che mi sia venuto in mente per inquadrare il libro.Il libro è gratis — pay-what-you-want con minimo zero. Se ti torna utile e vuoi contribuire, decidi tu quanto. Se non puoi o non vuoi, scarichi e leggi senza pensieri: la licenza Creative Commons BY-SA 4.0 ti permette anche di redistribuirlo e modificarlo, basta citare la fonte e mantenere la stessa licenza.

  5. The Ishi Spiral
    The Ishi Spiral
    A Foundational Guide
    Gareth Holebrook

    You already know how to work hard. The question is whether you know when to stop.Most frameworks optimize effort. The Ishi Spiral governs it. It is a discipline of self-governance that sustains performance under pressure without drifting into burnout or grinding past the point where continuation is still justified. The Guide is the Companion to 'Ishi: the Discipline of Determined Intent'.

  6. Solve The Case & Understand The Real Business
    Solve The Case & Understand The Real Business
    A Practical Guide to Real-World Business Cases for Aspiring business and finance Professionals
    K Palak Faguniya

    Master Business, One Case at a Time Unlock the insights of an MBA without stepping into a classroom. Learn to tackle real-world business challenges, sharpen your problem-solving skills, and gain actionable knowledge in entrepreneurship, finance, and consulting. This concise, hands-on guide teaches practical, case-based thinking used by top business schools so you can think, act, and succeed like a professional.

  7. MOST COMMON MISTAKES IN MACHINE LEARNING AND HOW TO AVOID THEM: With Examples in Python

    Understanding the most common mistakes in machine learning will allow you not only to avoid them, but to build better machine learning systems and less prone to errors. After reading this book, you will be ready to build more robust and trustworthy machine learning models.

  8. Understand Your Domain First
    Understand Your Domain First
    An Introduction to Event Storming and Domain-Driven Design
    Maciej "MJ" Jedrzejewski

    The easiest (and shortest) entry point to Event Storming and Domain-Driven Design you will find for free. I designed this book to be as close to a workshop experience as possible, and I did my best to make it so. Instead of focusing solely on abstract concepts, you will follow a real-world case study throughout the chapters.

  9. Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
    Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
    A short beginner’s guide to deep learning-based computer vision and abnormal sound detection
    Ankur Kumar

    This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

  10. LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World
    LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World
    Using local models using Ollama andHugging Face. Notes provided for switching to commercial inference providers like OpenAI, Anthropic, Google, etc.
    Mark Watson

    Running LLMs with your own data allows you to quickly build personalized applications.

  11. Tidyverse Skills for Data Science in R
    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.

  12. Learn Python the Simple Way
    Learn Python the Simple Way
    The fundamental programming language for Machine Learning (ML), Scientific and Numeric Computing, Robotics and Web Development
    Sanjib Sinha

    Reading "Learn Python the Simple Way", you'll learn how software work.At this moment, Python is one of the fundamental programming languages for Machine Learning (ML), Scientific and Numeric Computing, Robotics and even Web Development.

  13. Advanced Linear Models for Data Science

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

  14. Regression Models for Data Science in R
    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.

  15. Conhecendo Ruby
    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.