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Category: "Data Structures"

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  1. No Description Available
  2. 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.

  3. 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.

  4. Practical C++ Machine Learning
    Hands-on strategies for developing simple machine learning models using C++ data structures and libraries
    GitforGits | Asian Publishing House

    My goal is to equip other programmers with the confidence to confidently incorporate machine learning into their C++ projects by guiding them through real-world examples and addressing common challenges head-on.

  5. Your Fastest Route to Algorithms & Data Structures (JavaScript ES6)
    A Brief, No Fluff Guide With Practical Application Examples
    Adegoke Akintoye

    In less than 100 pages, you will explore key concepts, learn how to implement algorithms, and understand the importance of data structures in JavaScript. Each topic is presented in a straightforward manner, focusing on practical applications and real-world examples to enhance your understanding. By the end of this book, you will have a solid foundation in algorithms and data structures, empowering you to apply these concepts effectively in your JavaScript projects. Let's embark on this fast-paced journey to mastering algorithms and data structures in JavaScript ES6.

  6. Rust In Practice, Second Edition
    A Programmers Guide to Build Rust Programs, Test Applications and Create Cargo Packages
    GitforGits | Asian Publishing House

    "Rust In Practice, Second Edition" is more than simply a guidebook; it's an exploration of a language that stresses safety, speed, and concurrency. It is intended for developers who are interested in furthering their Rust knowledge, as well as those who are just getting started but want to go deep.

  7. 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!

  8. 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.

  9. Bases de datos con XML
    Sergio Adrian Martin

    El autor explica que es XML, como usarlo en paginas web y otras aplicaciones

  10. C++ Programming Cookbook
    Proven solutions using C++ 20 across functions, file I/O, streams, memory management, STL, concurrency, type manipulation and error debugging
    GitforGits | Asian Publishing House

    Through a series of carefully curated recipes, "C++ Programming Cookbook" stands out as a clear, concise, and powerful technical resource for programmers who want to master C++'s intricacies. The book covers more advanced subjects like concurrency, memory management, file I/O operations, object-oriented design concepts and functional programming.

  11. Principios fundamentales para entender cómo organizar y manipular datos de manera eficiente. Con un enfoque didáctico y accesible.

  12. Uno de los aspectos más importantes de la ciencia de la computación es la creación de nuevas estructuras de datos que sean apropiados para resolver problemas específicos del mundo real.