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  1. YOUR FIRST 30 DAYS WITH AI CODING ASSISTANTS
    YOUR FIRST 30 DAYS WITH AI CODING ASSISTANTS
    FROM ZERO TO PRODUCTIVE
    Anshuman Mishra

    A practical 30-day plan that turns complete beginners into confident, responsible users of AI coding assistants.Learn how to set clear goals, build a small project, debug with purpose, use Git, write better code, and present your work — all while using AI as a learning partner, not a crutch.

  2. Singapore Taxation: Practice & Answer Writing
    Singapore Taxation: Practice & Answer Writing
    An Independent Practice Guide for the Singapore CA Qualification
    GlobalCPA

    Move from understanding worked solutions to building your own tax calculations and written answers.

  3. The SDET Blueprint
    The SDET Blueprint
    A 30-Day, Hands-On Roadmap from Manual QA to Automation Engineer with Playwright & TypeScript
    Paras Singh Gusain

    Stop getting stuck in manual regression cycles and learn to engineer zero-touch automation pipelines. In 30 days, go from Manual QA to SDET by building a production-grade test framework from scratch with Playwright, TypeScript, and GitHub Actions—complete with a live portfolio report for hiring managers.

  4. Singapore Taxation: Concepts & Worked Examples
    Singapore Taxation: Concepts & Worked Examples
    An Independent Study Guide for the Singapore CA Qualification
    GlobalCPA

    Build a clear foundation in Singapore taxation before moving into exam practice. This concise, four-week study guide covers personal income tax, corporate income tax and GST through structured explanations, calculation frameworks and worked examples.

  5. Building a Native LLM Inference Engine

    From Raw Model Weights to High-Performance C++20 and CUDA ExecutionModern large language models are only as efficient as the systems that execute them. Behind every generated token lies a complex interaction between model architecture, memory bandwidth, numerical precision, parallel computation, kernel execution, and runtime orchestration. Understanding these interactions is essential for engineers who want to move beyond high-level inference frameworks and build systems whose performance, architecture, and execution behavior they can control directly.

  6. CISM Exam Prep 2026
    CISM Exam Prep 2026
    SouthStone Publications

    Pass the CISM on your first attempt, whichever side of the November 2026 exam change you sit. This guide covers both the current and updated outlines, flags exactly what changed, and pairs plain-language domain coverage with a 12-week study plan and hundreds of scenario-based practice questions.

  7. The Shape of Generated Code, Vol. 1: The Reviewer's Kit
    The Shape of Generated Code, Vol. 1: The Reviewer's Kit
    The Reviewer's Kit: A Practical Method to Review AI-Generated Code
    Edinaldo Sá

    AI-assisted code often looks finished while resting on a premise nobody checked. A practical, evidence-based method for developers, tech leads and architects to find system-level defects before they ship.

  8. Palantrick Artificial Intelligence
    Palantrick Artificial Intelligence
    Sanatic Prompts
    Palantrick Artificial Intelligence

    Warning:The mental sandwich "Zeroist AI-ideology" features:Sci-fi slice, Fantasy spice,Absurdity tease, Dark humor cheese,Fried nonsense,Info dump pebble,Surreal meat, Your cerebral sweat.Eat in or take out?

  9. Understanding Modern LLM Systems
    Understanding Modern LLM Systems
    A Field Guide to RAG, Agents, and Beyond
    koe

    For PMs, presales, and managers who work with AI but don’t write code: how RAG, agents, fine-tuning, compliance, and security actually fit together.

  10. Online Income Starter Guide
    Online Income Starter Guide
    A Realistic, Beginner-Friendly Path to Earning Online
    EcoVolt Living

    A practical beginner-friendly guide to exploring legitimate online income paths, identifying useful skills, avoiding scams, building simple systems, and creating a realistic 90-day action plan.

  11. Master Muse AI in 7 Days — The Complete Guide to Features, Prompts & Wonders
    Master Muse AI in 7 Days — The Complete Guide to Features, Prompts & Wonders
    Learn Every Muse Feature Step by Step — From Your First Chat to Power-User Projects — In Just 7 Days
    Shakeel Ahmed

    Master Muse AI in 7 Days — the complete beginner-to-expert guide to Meta's personal AI agent. Learn every feature, prompt like a pro, and put Muse to work on your business, studies, and daily life.

  12. Learn Kotlin Data Structures & Algorithms Visually - Volume 4
    Learn Kotlin Data Structures & Algorithms Visually - Volume 4
    Data Structures & Algorithms for AI-Era Interviews
    Flannan P. Brody

    Learn Kotlin Data Structures & Algorithms Visually - Volume 4 brings together 107 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree... Printed in full color.

  13. Learn Kotlin Data Structures & Algorithms Visually - Volume 3
    Learn Kotlin Data Structures & Algorithms Visually - Volume 3
    Data Structures & Algorithms for AI-Era Interviews
    Flannan P. Brody

    Learn Kotlin Data Structures & Algorithms Visually - Volume 3 brings together 107 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree... Printed in full color.

  14. Learn Kotlin Data Structures & Algorithms Visually - Volume 2
    Learn Kotlin Data Structures & Algorithms Visually - Volume 2
    Data Structures & Algorithms for AI-Era Interviews
    Flannan P. Brody

    Learn Kotlin Data Structures & Algorithms Visually - Volume 2 brings together 108 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree... Printed in full color.

  15. Learn Kotlin Data Structures & Algorithms Visually - Volume 1
    Learn Kotlin Data Structures & Algorithms Visually - Volume 1
    Data Structures & Algorithms for AI-Era Interviews
    Flannan P. Brody

    Learn Kotlin Data Structures & Algorithms Visually - Volume 1 brings together 108 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree... Printed in full color.