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Category: "Computers and Programming"

Books

  1. A Cool Brisk Walk Through Discrete Mathematics
    No Description Available
  2. Defense Evasion In Linux
    Defense Evasion In Linux
    Defeating File Integrity Monitoring
    Adhokshaj Mishra
    No Description Available
  3. Haskell Tutorial and Cookbook

    This book provides a tutorial to get started using Haskell and contains small and large Haskell projects that will teach you new techniques of Haskell development as well as providing useful code for reuse in your own projects. Most recent additions to the book use the OpenAI text completion APIs.

  4. IT & AI Digest
    IT & AI Digest
    Briefings on Technology, Artificial Intelligence & the Digital World
    Mohammad Kamrul Hassan

    Stay informed about the technology that matters.IT & AI Digest brings together concise analysis and insights on artificial intelligence, software, cybersecurity, cloud computing, robotics, digital business, and emerging technologies.No endless scrolling. No unnecessary noise.Just important ideas, explained clearly.Read less. Understand more.

  5. The Maths of DeepLearning
    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.

  6. Start Competitive Programming!: Ace the USACO Bronze Competition

    Want to get started with competitive programming? Tired of reading cryptic code? Tired of not knowing which problems to solve next to improve? Not learning much from problems that you solve? ("Every problem looks so different :( ") We've got your back! This book is your jump-start guide into competitive programming!

  7. Simplifying Machine Learning with PyCaret
    Simplifying Machine Learning with PyCaret
    A Low-code Approach for Beginners and Experts!
    Giannis Tolios

    A beginner-friendly introduction to machine learning with Python, that is based on the PyCaret and Streamlit libraries. Readers will delve into the fascinating world of artificial intelligence, by easily training and deploying their ML models!

  8. Reliable Generative AI
    Reliable Generative AI
    A Practical Guide to Prompt Design, RAG, Agents, and Safer AI Workflows
    George Tome

    Reliable Generative AI bridges business use and technical architecture. It teaches the foundations of prompt design, RAG, agentic workflows, tool use, structured outputs, safety patterns, and evaluation without assuming the reader is a software engineer. The focus is practical: understanding how AI workflows fail, how to design around those failures, and how to build systems that professionals can trust.

  9. 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.

  10. 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?

  11. P2P Networks
    P2P Networks
    Jakob Jenkov

    Peer-to-peer (P2P) networks are fascinating! P2P networks can scale to thousands, millions or even billions of individual peers collaborating without a central, coordinating entity. These peers can be run by individuals or organizations - each contributing resources towards the total capacity of the network. This book explores how!

  12. The Journey to DevOps
    The Journey to DevOps
    A Practical Guide for Software Engineers and Enthusiasts
    Harry Yan

    Looking for ways to kick off your DevOps career? Let's go on a journey together to AWS cloud, Linux, containers, Kubernetes, IaC, and CI/CD pipelines.

  13. Raspberry Pi Pico Tips and Tricks

    Learning about microcontrollers? Want to avoid the mistakes that I made along my learning journey? All the tips and tricks that will help you advance your skills, demonstrated using a Raspberry Pi Pico.

  14. Go, from the beginning
    Go, from the beginning
    from o to hero
    Chris Noring

    In this book you will learn the following: Build Console appsCreate Web APIsTest your codeCreate and publish reusable packages that others can consumeOrganize your files in a projectWork with files and directoriesParse text with the string library and regular expressions.

  15. Zefs Guide to Deep Learning

    Zefs Guide to Deep Learning is a short guide to the most important concepts in deep learning, the technique at the center of the current artificial intelligence revolution. It will give you a strong understanding of the core ideas and most important methods and applications. All in around only 150 pages!