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  1. Quantum Computing for Software Engineers

    Quantum computing is real, but is frankly surrounded by a thick fog of hype. Do you want to see it clearly, understand its realities, and even consider joining it as a professional software engineer?

  2. The Language Learner's Handbook
    The Language Learner's Handbook
    Tools and Techniques to Learn Any Language
    Simon Forbes

    Ever wanted to learn a foreign language but weren't sure where to start? The Language Learner's Handbook gives you the essential tools, skills, and strategies you need to learn any language as effectively and quickly as possible.

  3. 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.

  4. Reinforcement Learning for LLM
    Reinforcement Learning for LLM
    Reinforcement Learning, Preference Optimization, Verifiable Rewards, Agents, and Safety
    Vlad Kulikov

    Reinforcement learning for LLMs—from preference optimization and verifiable rewards to agents and safety—in a structured public reader edition.

  5. Modern LLMs
    Modern LLMs
    Архитектуры, обучение, выравнивание, оценка, агенты и безопасность
    Vlad Kulikov

    Modern LLMs: от архитектур и обучения до выравнивания, оценки, агентов и безопасности — в формате структурированного публичного издания.

  6. 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.

  7. Practical Python Artificial Intelligence Programming
    Practical Python Artificial Intelligence Programming
    Using Large Language Models, Deep Learning, Machine Learning, Symbolic AI, and Knowledge Representation
    Mark Watson

    A fun dive into AI programming with Python.

  8. 14 days of Git
    14 days of Git
    Sarah Lean

    Want to be more proficient in using Git? Then this is the book for you, find out how and when to use the most common commands.

  9. The Hitchhiker's Guide to DFIR: Experiences From Beginners and Experts
    The Hitchhiker's Guide to DFIR: Experiences From Beginners and Experts
    A crowdsourced Digital Forensics and Incident Response (DFIR) book by the members of the Digital Forensics Discord Server
    Andrew Rathbun, ApexPredator, Kevin Pagano, Nisarg Suthar, John Haynes, Guus Beckers, Barry Grundy, Tristram, Victor Heiland, Jason Wilkins, Mark Berger, and Evangelos Dragonas

    A first-of-its-kind crowdsourced Digital Forensics and Incident Response (DFIR) book by the Digital Forensics Discord Server members to share knowledge!

  10. GitOps
    GitOps
    Cloud-native Continuous Deployment
    Dr. Simon Harrer, Florian Beetz, and Anja Kammer

    GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?

  11. The Elements of Data Analytic Style
    The Elements of Data Analytic Style
    A guide for people who want to analyze data.
    Jeff Leek
    No Description Available
  12. Agent Engineering using Claude
    Agent Engineering using Claude
    Engineering Reliable AI Agents with Claude
    Venkatesh Tadinada

    Most agent books teach prompts and frameworks. Agent Engineering teaches the judgment and engineering discipline required to build AI agents that are reliable, secure, testable, and ready for production. Follow a practical Claude-based project from first agent to production-grade autonomous system—and receive every future update to this early-access edition.

  13. Probability Etudes in Common Lisp
    Probability Etudes in Common Lisp
    Interactively learn probability using Common Lisp
    Mark Watson
    No Description Available
  14. Claude Code
    Claude Code
    A practical guide for those who want to start using Claude Code professionally
    Maurizio Pelizzone

    The book is free — pay-what-you-want with a $0 minimum. If you find it useful and want to contribute, you decide how much. If you can't or don't want to, just download and read without worry: the Creative Commons BY-SA 4.0 license even allows you to redistribute and modify it, as long as you credit the source and maintain the same license.

  15. Talking with Tech Leads
    Talking with Tech Leads
    From Novices to Practitioners
    Patrick Kua

    A book for Tech Leads, from Tech Leads. Discover how more than 35 Tech Leads find the delicate balance between the technical and non-technical worlds. Discover the challenges a Tech Lead faces and how to overcome them. You may be surprised by the lessons they have to share.