Leanpub Header

Skip to main content
Go to Leanpub.comLeanpub

Filters

Category: "Data Structures"

Books

  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. NumPy By Example
    A Beginner's Guide to Learning NumPy (updated for NumPy 2)
    DAT Linux

    The book was designed to introduce NumPy features in a structured way, with each chapter building on your knowledge incrementally. Revised and updated for NymPy 2.

  3. Data Structures and Algorithm Design using Python
    Shashank
    No Description Available
  4. The Problem Solver's Guide To Coding
    Master essential algorithms, basic data structures, and common programming techniques by solving coding challenges in C++
    Nhut Nguyen

    This book revolutionizes your programming skills with meticulously solved challenges, practical strategies, and expert insights. From beginners to pros, master complex problems, write clean code, and ace interviews. Elevate your coding prowess and become a true champion!

  5. Mastering Data Structures (130 academic exam and interview style problems with detailed solutions)
    “130 Original Problems with Detailed Explanations and Interview-Focused Solutions”
    shhab mlkawy

    “A one-of-a-kind collection of 130 challenging data structure problems with full, detailed solutions — designed to help you deeply understand data structures and solve technical interview questions with confidence.”

  6. Edge AI : Pocket Knowledge Graphs on user device
    Volodymyr Pavlyshyn

    Build AI agents that truly remember, reason, and act—entirely on user devices. Move beyond prompt engineering to create autonomous systems with graph-based memory using SQLite and LibSQL. Learn to implement hypergraphs, metagraphs, and vector search for privacy-first AI that scales to millions of entities. From personal knowledge graphs to production mobile apps, master the three pillars of agent autonomy: tools, memory, and reasoning. Real code, working examples, battle-tested in production. The future of AI is local, private, and in your hands.

  7. Grip op data-architectuur
    Bert Dingemans

    Data-architectuur in de praktijk is hét handboek voor elke data-architect én zijn omgeving. Wie dit boek gelezen heeft is thuis in termen als: data-principes en -patronen, datamodellen en repositories.

  8. Automatiza tu Desarrollo Web con ChatGPT y GitHub Copilot
    Eduardo Luis Acosta

    Descubre cómo revolucionar tu flujo de trabajo y multiplicar tu productividad con AUTOMATIZA TU DESARROLLO WEB CON ChatGPT Y GitHub Copilot.Aprende a integrar estas poderosas herramientas de inteligencia artificial para crear código más rápido, evitar errores comunes y enfocarte en lo que realmente importa: ¡construir proyectos increíbles!

  9. Personal Life Digital Management Framework Proactive Human
    Aslanbek Daltayev
    No Description Available
  10. mastering Power Bi
    Sara Djebrit
    No Description Available
  11. Data Munging With Perl [2ed]
    Techniques for data recognition, parsing, transformation and filtering
    Dave Cross

    "Work in Progress" - Updated with the latest syntax, new CPAN modules and new file formats

  12. Arrays y Strings para entrevistas técnicas
    9 ejercicios clave de DSA resueltos en PHP, Python y Javascript
    Italo Morales Fantone

    ¿Preparándote para entrevistas técnicas? Este libro es para ti. Aprende a resolver desafíos de arrays y strings, las estructuras más comunes y fundamentales en cualquier prueba técnica. Con un enfoque paso a paso, en tres lenguajes (PHP, Javascript y Python), te ayudará a pensar de forma ordenada, escribir soluciones limpias y entender lo que estás haciendo. Forma parte de la colección Tidy DSA, donde el objetivo no es memorizar, sino razonar con claridad.

  13. Data Preparation for Customer Analytics
    Steve Ludwig
    No Description Available
  14. Java 17 Backend Development
    Design backend systems using Spring Boot, Docker, Kafka, Eureka, Redis, and Tomcat
    GitforGits | Asian Publishing House

    This book offers beginners and backend developers with practical guidance on developing robust server-side applications with Java 17. Each chapter is structured around hands-on examples, real-world challenges, and step-by-step solutions tailored to Java professionals aiming to elevate their expertise in backend systems.

  15. Advanced Data Structures Handbook: The JavaScript Edition
    Simplifying Complexity for Real-World Applications
    Hela Ben Khalfallah

    Designed for JavaScript developers, this handbook dives into the practical implementation of advanced data structures such as B-Trees, Tries, and probabilistic models like Bloom Filters. Focused on real-world challenges, it explains how to handle large datasets, optimize caching, and implement efficient searches. With clear examples and technical depth, this book offers a realistic approach to applying advanced concepts in scalable and reliable systems.