Books

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

AI can speed up learning and coding — but only if you stay in control. This book shows new developers how to use GPT-6, Claude, and Cursor effectively: how to ask clear questions, supply useful context, review generated code, test edge cases, and avoid common mistakes such as invented APIs, insecure suggestions, and overconfident explanations. You will build practical habits for explanations, small features, tests, debugging, and documentation — while protecting private data and remaining responsible for the final result. Ideal for students, self-learners, and early-career developers who want to learn with AI, not instead of learning.

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.

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.

Pass the CCSP on your first attempt. This 2026 guide covers all six domains, the new adaptive (CAT) exam format, and the August 2026 outline refresh with AI security woven throughout. Clear explanations, exam-style reasoning, and a proven study plan take you from registration to certificate.

Building a Native LLM Inference Engine Building a modern LLM inference engine from the ground up requires understanding every layer between model weights and generated tokens. This book provides a systems-level, implementation-focused path through that entire stack, from raw checkpoint formats and tensor memory layouts to native C++ execution, CUDA kernels, KV-cache management, scheduling, multi-GPU inference and production serving.

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.

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.

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?

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.

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.

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.

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.

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.

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.