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Beginning DevOps with Docker: Automate the deployment of your environment with the power of the Docker toolchain
Beginning DevOps with Docker: Automate the deployment of your environment with the power of the Docker toolchain
It can be tough to roll out a pre-configured environment if you don't know what you're doing. We'll show you how to streamline your service options with Docker, so that you can scale in an agile and responsive manner.
Key Features
  • Learn how to structure your own Docker containers
  • ...
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...
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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