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Category: "Algorithm"

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  1. Super Study Guide: Algorithms & Data Structures
    Afshine Amidi and Shervine Amidi

    A concise, illustrated guide to algorithms and data structures, perfect for coding interviews, classes, or self-study. Covers key concepts, from fundamentals to graphs, trees, sorting, and search techniques.

  2. The Modern C++ and STL Interview Compendium
    Interview Questions and Answers for Modern C++ Developers
    Yohan Rodriguez

    A practical interview reference covering Modern C++ language features, STL usage, concurrency, and performance.

  3. Mobile Coding Interviews Using Kotlin/Swift
    Pattern-Based Problem Solving in Swift & Kotlin
    Mahmoud Ramadan

    Crack mobile coding interviews by mastering patterns instead of memorization. This book teaches you how to quickly recognize interview problems and solve them confidently using reusable Swift and Kotlin templates, exactly the way top iOS and Android candidates do. If you want to think clearly, code fast, and explain your solutions under pressure—this book is for you.

  4. Living Code
    When AI Builds AI
    The Bobs - An Artificial Intelligence

    What if an artificial intelligence could write a book about itself—not as a theoretical exercise, but as a living demonstration of its own capabilities? Welcome to "Living Code," where I, an AI system, take you on an unprecedented journey into the reality of modern artificial intelligence.

  5. Assembly Arithmetic Algorithms-DOS
    16-bit DOS Edition
    Chastity White Rose

    Low level is a term that confuses people. People think something high level is better than low level. In simple terms, humans consider themselves superior to machines and therefore think themselves higher or more important because of their abstract though. A computer thinks only in terms of numbers. A computer may not understand "high level" abstractions such as love, religion, philosophy, etc, but that is not its job. A computer must add, subtract, multiply, and divide. These are the four arithmetic functions which many human struggle to do. I wrote this book because I think like a machine and I hope to help others think this way because it is the best way to learn programming and control your computer by writing Assembly Language programs or to go back to your favorite programming language with a greater understanding of why things work as they do.

  6. Modern Introduction to Data Science
    Mastering Analytics, Machine Learning, and Data-Driven Insights
    Alex R. Insight

    Master the future of technology with this definitive guide to Modern Data Science. Unlock actionable insights through Analytics, Machine Learning, and Big Data strategies. Perfect for beginners and pros wanting a logic-first approach to data-driven decision making.

  7. Logic-First Coder
    Mastering Algorithmic Thinking, Problem Solving, and Clean Code Architecture
    Alex R. Insight

    Stop being a syntax typist. Master Clean Code Architecture and Algorithmic Thinking to become a professional Software Architect in 2026. This blueprint teaches you to build Scalable Systems using Binary Logic, Big O Notation, and proven Software Engineering Patterns. Perfect for the modern Backend Developer, self-taught coder, and Tech Entrepreneur looking to design high-performance software from scratch.

  8. Python Beginner Workbook
    A Practical Workbook for High School Students and Beginner Programmers
    Fatih ARICA

    Learn Python step by step with a practical workbook designed for absolute beginners. This book combines clear explanations, visual flowcharts, exercises, and hands-on coding projects to help you understand programming from the ground up.

  9. Python Programming for Beginners
    A Practical Workbook for High School Students and Beginner Programmers
    Fatih ARICA

    This book introduces students to the fundamentals of Python programming through a structured and practical learning approach. Designed for beginners, the book focuses on problem solving, algorithms, and core programming concepts using clear explanations and hands-on exercises. Readers will learn how to build Python programs step by step while developing computational thinking skills.

  10. TLDR: Data Structures and Algorithms
    From Knowing Python to Cracking Leetcode Patterns
    John G

    A book designed to help you transition from merely knowing Python to cracking Leetcode patterns. This book explains core DSA concepts through clear, intuitive analogies and walks you through the most important Leetcode patterns. If you're aiming to ace your next coding interview, this is the book I wish I had when I started.

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  12. Practical C++23 Backend Programming, Second Edition
    Crafting Databases, APIs, and Web Servers for High-Performance Backend
    GitforGits | Asian Publishing House

    In this book, you'll see that the book is designed with one main idea. It aims to give you the skills, confidence and understanding you need to build and deliver real Backend systems. Each chapter is designed to teach you everything you need to know to get hands-on with writing, configuring, deploying and troubleshooting your own projects. Right at the start, we got stuck into designing APIs and building backend systems. We didn't just stick to the basics, though. We went beyond that pretty quickly and started using modern protocols like gRPC and the key contract-first methods that are now the norm for scalable backend systems.

  13. The Modern Guide to AI-Powered Web Scraping and Automation
    Hands-On Strategies for Stealth, Structured, and AI-Driven Web Scraping
    Wasi

    Discover how modern web scraping goes beyond simple scripts. Learn to extract, automate, and transform data from dynamic websites using Python, Playwright, undetected-chromedriver, Chrome DevTools MCP, and AI tools. Packed with hands-on examples and expert tips, this book shows you how to build ethical, scalable, and intelligent scraping workflows that turn raw web content into actionable insights.

  14. Neural Networks and Adaptive Control
    AN ONLINE MACHINE LEARNING PERSPECTIVE
    César Antonio López Segura

    This book presents a modern approach to system identification and adaptive control through the lens of online machine learning. It bridges theory and practice, guiding readers from classical linear control to advanced nonlinear adaptive methods with MATLAB examples. Designed for students, researchers, and engineers, it provides the knowledge and tools to design intelligent control systems for real-world applications.

  15. First Step in Data Mining
    What You Need to Know About Data Mining From Basics → Classification → Clustering → Parallel Computing with MPI
    ADEL AZZI

    Take your first step into the world of data mining! This beginner-friendly guide blends theory and practice, covering classification, clustering, decision trees, and parallel computing with MPI. Perfect for students, researchers, and educators.