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

Create visually appealing and feature-rich applications by using Qt 5 and the C++ language

Key Features

  • Explore Qt 5's powerful features to easily design your GUI application
  • Leverage Qt 5 to build attractive cross-platform applications
  • Work with Qt...
Hands-On Data Structures and Algorithms with Rust: Learn programming techniques to build effective, maintainable, and readable code in Rust 2018
Hands-On Data Structures and Algorithms with Rust: Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

Design and implement efficient programs by exploring modern Rust data structures and algorithms

Key Features

  • Use data structures such as arrays, stacks, trees, lists, and graphs with real-world examples
  • Learn the functional and reactive implementations of traditional data...
fastText Quick Start Guide: Get started with Facebook's library for text representation and classification
fastText Quick Start Guide: Get started with Facebook's library for text representation and classification

Perform efficient fast text representation and classification with Facebook's fastText library

Key Features

  • Introduction to Facebook's fastText library for NLP
  • Perform efficient word representations, sentence classification, vector representation
  • ...
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

  • Exploit the features of Tensorflow to build and deploy machine learning models
  • Train neural networks to tackle real-world problems in Computer Vision and...
Developing Middleware in Java EE 8: Build robust middleware solutions using the latest technologies and trends
Developing Middleware in Java EE 8: Build robust middleware solutions using the latest technologies and trends

Use Java features such as JAX-RS, EJBs, and JPAs to build powerful middleware for newer architectures such as the cloud

Key Features

  • Explore EJBs to build middleware solutions for enterprise and distributed applications
  • Understand middleware designs such as event-based and...
Architecting Microsoft Azure Solutions – Exam Guide 70-535: A complete guide to passing the 70-535 Architecting Microsoft Azure Solutions exam
Architecting Microsoft Azure Solutions – Exam Guide 70-535: A complete guide to passing the 70-535 Architecting Microsoft Azure Solutions exam

Get certified as an Azure architect by acing the 70-535 Architecting Microsoft Solutions (70-535) exam using this comprehensive guide with full coverage of the exam objectives

Key Features

  • Learn to successfully design and architect powerful solutions on the Azure Cloud platform
  • ...
Learn WebAssembly: Build web applications with native performance using Wasm and C/C++
Learn WebAssembly: Build web applications with native performance using Wasm and C/C++

The first definitive guide on WebAssembly to help you break through the barriers of web development and build an entirely new class of performant applications

Key Features

  • Generate WebAssembly modules from C and C++ using Emscripten and interact with these modules in the browser
  • ...
Mastering Python Scripting for System Administrators: Write scripts and automate them for real-world administration tasks using Python
Mastering Python Scripting for System Administrators: Write scripts and automate them for real-world administration tasks using Python

Leverage the features and libraries of Python to administrate your environment efficiently.

Key Features

  • Learn how to solve problems of system administrators and automate routine activities
  • Learn to handle regular expressions, network administration
  • ...
Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras
Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

Explore various Generative Adversarial Network architectures using the Python ecosystem

Key Features

  • Use different datasets to build advanced projects in the Generative Adversarial Network domain
  • Implement projects ranging from generating 3D shapes to a face aging...
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.

Key Features

  • Get to grips with GPU programming...
Hands-On Kubernetes on Azure: Run your applications securely and at scale on the most widely adopted orchestration platform
Hands-On Kubernetes on Azure: Run your applications securely and at scale on the most widely adopted orchestration platform

Efficiently deploy and manage Kubernetes clusters on a cloud

Key Features

  • Deploy highly scalable applications with Kubernetes on Azure
  • Leverage AKS to deploy, manage, and operations of Kubernetes
  • Gain best practices from this guide to increase efficiency...
Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python
Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python

Learn advanced techniques to improve the performance and quality of your predictive models

Key Features

  • Use ensemble methods to improve the performance of predictive analytics models
  • Implement feature selection, dimensionality reduction, and cross-validation...
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