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Category: "Computers and Programming"

Computers and Programming

  1. Spring Security 7 From Internals to Production

    Spring Security 7 from the inside out. Trace requests through the filter chain, build a custom identity provider with Spring Authorization Server, secure reactive WebFlux services, and ship production hardened systems backed by JWT, OAuth2, OIDC, SAML2, WebAuthn, and zero trust microservice patterns. Built around CineTrack on Spring Boot 4 and Java 21. Written for engineers who already ship Spring Boot in production.

  2. PostgreSQL From MVCC to Production

    Postgres woke you up at three in the morning. Same code. Same hardware. Something changed. This book explains what changed and why, starting from the one idea that makes everything else legible: MVCC.

  3. THE AI: GOVERNANCE IMPERATIVE
    THE AI: GOVERNANCE IMPERATIVE
    Strategy, Ethics & Responsible Innovation for AI Practitioners
    Fabian Rose

    Navigate the architectural discontinuity of the Foundation Model Era with this comprehensive guide designed for professionals sitting at the intersection of technology and leadership. Master the intersection of technical precision and strategic oversight through the RACE framework, robust ethical principles, and the operational realities of MLOps. From the legal mandates of the EU AI Act to the emerging risks of agentic AI, this guide empowers you to lead AI transformation with intention and accountability.

  4. THE AI: PROVENANCE STACK
    THE AI: PROVENANCE STACK
    Verifiable Origin in the Age of Synthetic Output
    Fabian Rose
    No Description Available
  5. Inside Large Language Models for absolute beginners: Volume I
    Inside Large Language Models for absolute beginners: Volume I
    Simple Arithmetic and beginners Python based approach
    Ritesh Modi

    Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.

  6. The Diagnostic Programmer
    The Diagnostic Programmer
    The Architect’s Guide to Diagnostic Logic and Predictable Systems
    Alex R. Insight

    Stop being a 'Syntax Coder' and start becoming a 'Diagnostic Architect' by mastering the hidden mental models of software failure. This book teaches you how to own every logical branch of your system and eliminate bugs before they even happen. Stop guessing and start diagnosing.

  7. FROM SILICON TO QUBITS
    FROM SILICON TO QUBITS
    An Engineer’s Guide to Quantum Computing
    Tej

    If you've ever wondered what the quantum computing stack actually looks like from top to bottom, this is the book.

  8. 编程宇宙动力学
    编程宇宙动力学
    11种编程语言实用指南及ESA数据实验验证
    Nguyen Khanh Tung

    如果惯性可以被编程会怎样?本书在 11 种编程语言中实现了 NKTg 定律 = f(x, v, m),并通过真实 ESA 火星数据验证,误差仅为 0.208% —— 从 Python 到 Assembly,从人工智能到量子计算。

  9. Something You Don't Know
    Something You Don't Know
    The Engineer’s Guide to Identity and Trust
    Ramyashri Padmanabhakumar

    From the "original sin" of the stateless web to the looming threat of quantum-powered breaches, Something You Don't Know decodes the thousands of years of human ingenuity behind the login box. You will master modern engineering essentials like passkeys, Zero Trust architecture, and ML-KEM while learning to secure the next frontier: autonomous AI agents. It is the definitive guide for senior engineers who want to understand the physics of identity and build systems that are truly unshakeable.

  10. Hibernate Spring Data JPA in Depth

    Most developers treat Hibernate as a black box that turns objects into rows. This book opens the box, shows you exactly what happens inside, and teaches you how to make it work for you at scale.

  11. Ten Habits of Great Data Analysts
    Ten Habits of Great Data Analysts
    Practical Tips from My Three Decades in the Field
    Danielle Boyce, MPH, DPA

    Great data analysts are not defined by the software they use. They are defined by how they think about data.

  12. Learning PySide6
    Learning PySide6
    A Practical Guide to Building GUI Applications with Python and Qt6
    Budi Raharjo

    Working with PySide6 should not depend on trial and error. This book replaces fragmented learning with a structured approach, combining in-depth explanations and dependable code examples that move you forward with confidence.

  13. Exploring Java Libraries: A Developer's Guide (Volume 2)
    Exploring Java Libraries: A Developer's Guide (Volume 2)
    Advanced Text Processing, AWT, Swing GUI, and Accessibility in Java
    Solis Dynamics

    Exploring Java Libraries: A Developer’s Guide, Volume II is a hands-on guide to Java’s text-processing, desktop GUI, and accessibility libraries. Through practical examples, structured explanations, and real-world coding scenarios, it helps developers move beyond theory and master Java’s AWT, Swing, and java.text ecosystem.

  14. Cut Your Claude Code Token Usage in Half
    Cut Your Claude Code Token Usage in Half
    48 diagnostic symptoms for Claude Code cost: context window bloat, subagent cost, MCP server overhead and cache misses — what each looks like and what to change.
    yurukusa

    Claude Code users routinely spend more on tokens than they expect, and cannot see where the money goes. Chapter 8 catalogues 48 diagnostic symptoms — what each one looks like, what it costs you, and what to change — with a fix where a fix exists, and an honest "unresolved" where none does yet. Chapter 7 puts before-and-after numbers against the changes, measured on the author's own unattended runs, and Chapter 9 collects the settings templates.

  15. Build Kubernetes Operators with Kubebuilder
    Build Kubernetes Operators with Kubebuilder
    A Complete Guide to Creating, Testing, and Publishing Custom Controllers
    Kirshi Yin | Curious Devs Corner

    Learn how to build Kubernetes Operators from scratch using Kubebuilder, step by step. You will create real controllers, work with CRDs, and understand how reconciliation works in practice. By the end, you’ll know how to design, test, and run your custom operator.