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Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition
Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition

Master the capabilities of PostgreSQL 11 to efficiently manage and maintain your database

Key Features

  • Master advanced concepts of PostgreSQL 11 with real-world datasets and examples
  • Explore query parallelism, data replication, and database performance while working with...
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers...
Distributed Computing with Go: Practical concurrency and parallelism for Go applications
Distributed Computing with Go: Practical concurrency and parallelism for Go applications

A tutorial leading the aspiring Go developer to full mastery of Golang's distributed features.

Key Features

  • This book provides enough concurrency theory to give you a contextual understanding of Go concurrency
  • It gives weight to synchronous and asynchronous data...
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...
Rust Programming By Example: Enter the world of Rust by building engaging, concurrent, reactive, and robust applications
Rust Programming By Example: Enter the world of Rust by building engaging, concurrent, reactive, and robust applications

Discover the world of Rust programming through real-world examples

Key Features

  • Implement various features of Rust to build blazingly fast applications
  • Learn to build GUI applications using Gtk-rs
  • Explore the multi-threading aspect of Rust to tackle...
Rust Standard Library Cookbook: Over 75 recipes to leverage the power of Rust
Rust Standard Library Cookbook: Over 75 recipes to leverage the power of Rust

Explore the Rust Standard library and compose algorithms with minimal dependency on external libraries

Key Features

  • Develop high-quality, fast, and portable applications by leveraging the power of Rust's Standard library.
  • Practical recipes that will help you work with...
Schaum's Outline Series Theory and Problems of Projective Geometry
Schaum's Outline Series Theory and Problems of Projective Geometry
The purpose of this book is to provide a first course in Projective Geometry for undergraduate majors in mathematics and for prospective teachers of high school geometry. For the former it will furnish an introduction to the important concept of projective spaces; for the latter it will introduce a more general geometry from which,...
High-performance and Hardware-aware Computing
High-performance and Hardware-aware Computing

High-performance system architectures are increasingly exploiting heterogeneity: multi- and manycore-based systems are complemented by coprocessors, accelerators, and reconfigurable units providing huge computational power. However, applications of scientific interest (e.g. in high-performance computing and numerical simulation) are not yet...

Functional Programming: A PragPub Anthology: Exploring Clojure, Elixir, Haskell, Scala, and Swift
Functional Programming: A PragPub Anthology: Exploring Clojure, Elixir, Haskell, Scala, and Swift

Explore functional programming and discover new ways of thinking about code. You know you need to master functional programming, but learning one functional language is only the start. In this book, through articles drawn from PragPub magazine and articles written specifically for this book, you'll explore functional...

Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust
Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust

Get to grips with modern software demands by learning the effective uses of Rust's powerful memory safety.

Key Features

  • Learn and improve the sequential performance characteristics of your software
  • Understand the use of operating system processes in a high-scale...
Explorations in Quantum Computing (Texts in Computer Science)
Explorations in Quantum Computing (Texts in Computer Science)

In the decade since the publication of the first edition of “Explorations in Quantum Computing” the field has blossomed into a rich and diverse body of knowledge, and tremendous progress has been made on building functional quantum computer hardware. Yet I find that a discussion of applications of quantum computers still remains...

Mastering Parallel Programming with R
Mastering Parallel Programming with R

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest...
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