Електронні книги

Hands-On Full Stack Web Development with Aurelia. Develop modern and real-time web applications with Aurelia and Node.js

Diego Argüelles Rojas, Erikson Haziz Murrugarra Sifuentes

Hands-On Full-Stack Development with Swift. Develop full-stack web and native mobile applications using Swift and Vapor

Ankur Patel

Hands-On Full-Stack Web Development with ASP.NET Core. Learn end-to-end web development with leading frontend frameworks, such as Angular, React, and Vue

Tamir Dresher, Amir Zuker, Shay Friedman

Hands-on Full-Stack Web Development with GraphQL and React. Build scalable full-stack applications while learning to solve complex problems with GraphQL

Sebastian Grebe

Hands-On Functional Programming in RUST. Build modular and reactive applications with functional programming techniques in Rust 2018

Andrew Johnson

Hands-On Functional Programming with C++. An effective guide to writing accelerated functional code using C++17 and C++20

Alexandru Bolboaca

Hands-On Functional Programming with TypeScript. Explore functional and reactive programming to create robust and testable TypeScript applications

Remo H. Jansen

Hands-On G Suite for Administrators. Build and manage any business on top of the Google Cloud infrastructure

Cesar Anton Dorantes

Hands-On Game Development with WebAssembly. Learn WebAssembly C++ programming by building a retro space game

Rick Battagline

Hands-On Game Development without Coding. Create 2D and 3D games with Visual Scripting in Unity

Lucas Bertolini

Hands-On Generative Adversarial Networks with Keras. Your guide to implementing next-generation generative adversarial networks

Rafael Valle

Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python

John Hany, Greg Walters

Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition

Eyal Wirsansky

Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems

Eyal Wirsansky

Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2

Shammunul Islam

Hands-On GPU Computing with Python. Explore the capabilities of GPUs for solving high performance computational problems

Avimanyu Bandyopadhyay

Hands-On GPU Programming with Python and CUDA. Explore high-performance parallel computing with CUDA

Dr. Brian Tuomanen

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA. Effective techniques for processing complex image data in real time using GPUs

Bhaumik Vaidya

Hands-On Gradient Boosting with XGBoost and scikit-learn. Perform accessible machine learning and extreme gradient boosting with Python

Corey Wade, Kevin Glynn

Hands-On Graph Analytics with Neo4j. Perform graph processing and visualization techniques using connected data across your enterprise

Estelle Scifo

Hands-On Graph Neural Networks Using Python. Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Maxime Labonne

Hands-On GUI Application Development in Go. Build responsive, cross-platform, graphical applications with the Go programming language

Andrew Williams

Hands-On GUI Programming with C++ and Qt5. Build stunning cross-platform applications and widgets with the most powerful GUI framework

Lee Zhi Eng

Hands-On High Performance Programming with Qt 5

Mark Krajewski