Leanpub Header

Skip to main content

Filters

Category: "Algorithm"

Algorithm

  1. Primality tests
    Primality tests
    Sergio Adrian Martin

    The author explains several primality test, since the ancient greek until the xix century, and how to use computers to apply these tests.

  2. Living Code
    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.

  3. Learning PyTorch 2.0, Second Edition
    Learning PyTorch 2.0, Second Edition
    Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and deep learning models
    GitforGits | Asian Publishing House

    This edition marks a significant shift in PyTorch's approach to optimization, enhancing both performance and flexibility. The introduction of torch.compile() provides a tool that will significantly boost the training and inference speed of models. This update allows developers to maximize the potential of their neural networks without the need to rewrite them from scratch. 

  4. Modern C++23 QuickStart Pro
    Modern C++23 QuickStart Pro
    Advanced programming including variadic templates, lambdas, async IO, multithreading and thread sync
    GitforGits | Asian Publishing House

    Programming in the modern era requires power and efficiency, and C++23 signifies the beginning of that era. This book captures that demand. To take your C++ skills to the next level, This book is about creating and breaking down real-world examples. You'll discover techniques that you can immediately apply to your own work.

  5. Super Study Guide: Algorithms & Data Structures
    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.

  6. Your Fastest Route to Algorithms & Data Structures (JavaScript ES6)
    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.

  7. Algoritmo de  Rutgen Kutta aplicado a ecuaciones diferenciales ordinarias

    El algoritmo de Rutgen Kutta representa una forma numérica de resolver ecuaciones diferenciales, que puede representarse la solución de forma gráfica. El autor presenta la base matemática y su algoritmo implementado en Visual Basic.NET

  8. The Problem Solver's Guide To Coding
    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!

  9. How to Build Self-Driving Cars From Scratch, Part 1
    How to Build Self-Driving Cars From Scratch, Part 1
    A Step-by-Step Guide to Creating Autonomous Vehicles With Python
    Bolakale Aremu

    This is part 1 of my 3-part training guide on how to build self-driving cars from scratch. This guide is bundled with a repository containing simulations, python scripts, graphics, and other useful assets . In this step-by-step guide, I’ll teach you how to make an app that you can use to create a simulation where cars learn how to drive autonom...

  10. C++ Programming Cookbook
    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. Ace the technical interview: Graph algorithms

    Master graph algorithms and its all downhill from there. There is a good chance a graph problem will come up in your interview(s). When that happens you want to be prepared. This book is a one stop shop for everything graphs.

  12. Machine Learning with Rust
    Machine Learning with Rust
    A practical attempt to explore Rust and its libraries across popular machine learning techniques
    GitforGits | Asian Publishing House

    This book is meant to discover how the language Rust, which is known for being fast and safe, can work with the constantly changing field of machine learning, neural networks and deep learning. The datasets of COVID, CIFAR-10 and practical examples are meant to show how Rust's features can be used to solve problems that come up in machine learning.

  13. Introducción a Estructura de Datos

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

  14. Una pequeña introducción a Estructura de Datos

    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.