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Hands-On Design Patterns with C# and .NET Core: Write clean and maintainable code by using reusable solutions to common software design problems
Hands-On Design Patterns with C# and .NET Core: Write clean and maintainable code by using reusable solutions to common software design problems

Apply design patterns to solve problems in software architecture and programming using C# 7.x and .NET Core 2

Key Features

  • Enhance your programming skills by implementing efficient design patterns for C# and .NET
  • Explore design patterns for functional and reactive...
Java Projects - Fundamentals of Java 18.9 - Second Edition: Practical projects to get you up and running with Java 18.9
Java Projects - Fundamentals of Java 18.9 - Second Edition: Practical projects to get you up and running with Java 18.9

Learn how to build scalable, resilient, and effective applications in Java that suit your software requirements.

Key Features

  • Explore advanced technologies that Java 11 delivers such as web programming and parallel computing
  • Discover modern programming paradigms such as...
PostGIS Cookbook - Second Edition: Store, organize, manipulate, and analyze spatial data
PostGIS Cookbook - Second Edition: Store, organize, manipulate, and analyze spatial data

Create and manage spatial data with PostGIS

Key Features

  • Import and export geographic data from the PostGIS database using the available tools
  • Maintain, optimize, and fine-tune spatial data for long-term viability
  • Utilize the parallel support functionality...
Concurrent Patterns and Best Practices: Build scalable apps with patterns in multithreading, synchronization, and functional programming
Concurrent Patterns and Best Practices: Build scalable apps with patterns in multithreading, synchronization, and functional programming

A definitive guide to mastering and implementing concurrency patterns in your applications

Key Features

  • Build scalable apps with patterns in multithreading, synchronization, and functional programming
  • Explore the parallel programming and multithreading techniques to make...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
The Modern C++ Challenge: Become an expert programmer by solving real-world problems
The Modern C++ Challenge: Become an expert programmer by solving real-world problems

Test your C++ programming skills by solving real-world programming problems covered in the book

Key Features

  • Solve a variety of real-world programming and logic problems by leveraging the power of C++17
  • Test your skills in using language features, algorithms, data...
Rust High Performance: Learn to skyrocket the performance of your Rust applications
Rust High Performance: Learn to skyrocket the performance of your Rust applications

Find bottlenecks, identify the proper algorithm to use, optimize performance, and create really efficient Rust applications

Key Features

  • Understand common performance pitfalls and improve the performance of your applications.
  • Get to grips with parallel programming and...
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python

Invent your own Python scripts to automate your infrastructure

Key Features

  • Make the most of Python libraries and modules to automate your infrastructure
  • Leverage Python programming to automate server configurations and administration tasks
  • Efficiently...
Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition
Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition

Enter the exciting world of Julia, a high-performance language for technical computing

Key Features

  • Leverage Julia's high speed and efficiency for your applications
  • Work with Julia in a multi-core, distributed, and networked environment
  • Apply Julia to...
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...
C++ High Performance: Boost and optimize the performance of your C++17 code
C++ High Performance: Boost and optimize the performance of your C++17 code

Write code that scales across CPU registers, multi-core, and machine clusters

Key Features

  • Explore concurrent programming in C++
  • Identify memory management problems
  • Use SIMD and STL containers for performance improvement

Book...

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...
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