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Learn Multithreading with Modern C++

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Multithreading is used in many areas of computing, including graphics processing, machine learning and Internet stores. An understanding of threads is essential to make full use of the capabilities of modern hardware.C++ now provides direct support for threads, making it possible to write portable multithreaded programs which have well-defined behaviour, without requiring any external libraries ... Read more

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Multithreading is used in many areas of computing, including graphics processing, machine learning and Internet stores. An understanding of threads is essential to make full use of the capabilities of modern hardware.C++ now provides direct support for threads, making it possible to write portable multithreaded programs which have well-defined behaviour, without requiring any external libraries
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The Rust programming language is extremely well suited for concurrency, and its ecosystem has many libraries that include lots of concurrent data structures, locks, and more. But implementing those structures correctly can be very difficult. Even in the most well-used libraries, memory ordering bugs are not uncommon.In this practical book, Mara Bos, leader of the Rust library team, helps Rust
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Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or fault-tolerance. Most projects benefit from running background tasks and processing data concurrently, but the world of OTP and various libraries can be challenging. Which Supervisor and what strategy to use? What about GenServer? Maybe you need back-pressure,
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$235.99 HKD or Free with Kobo Plus

This machine learning book is a new edition out now for Rust developers to build practical machine learning systems without getting bogged down in the complexities of Rust 1.85. We put together a single workspace over eleven chapters, building it from a Polars-based data pipeline through classical models, deep neural networks, and natural language processing, right up to a deployed REST API.We
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CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now
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Reactive Programming with RxJS 5

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Reactive programming is revolutionary. It makes asynchronous programming clean, intuitive, and robust. Use RxJS 5 to write complex programs in a simple way, and master the Observable: a powerful data type that substitutes callbacks and promises. Think about your programs as streams of data that change and adapt to produce what you want. Manage real-world concurrency and write complex flows of
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The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, ... Read more

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The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability,
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Build high-performing, concurrent, and distributed applications

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Learn how to use Python to create efficient applicationsKey Features\[\*\]Identify the bottlenecks in your applications and solve them using the best profiling techniques\[\*\]Write efficient numerical code in NumPy, Cython, and Pandas\[\*\]Adapt your programs to run on multiple processors and machines with parallel programmingBook DescriptionPython is a versatile language that has found ... Read more

$258.29 HKD or Free with Kobo Plus

Learn how to use Python to create efficient applicationsKey Features\[\*\]Identify the bottlenecks in your applications and solve them using the best profiling techniques\[\*\]Write efficient numerical code in NumPy, Cython, and Pandas\[\*\]Adapt your programs to run on multiple processors and machines with parallel programmingBook DescriptionPython is a versatile language that has found
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PowerShell Playbook: Taming the Terminal with Wit, Script, and Wizardry

Mastering IIS

Ultimate C# for High-Performance Applications

Parallel Algorithms

Modern Web Apps using Rust, Second Edition

Functional Programming: A PragPub Anthology

Hands-On Data Structures and Algorithms with Rust

Julia for Scientific Computing

Hands-On GPU Computing with Python

DevOps and Site Reliability Engineering Handbook

Concurrent Data Processing in Elixir

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GPU Programming using Rust and CUDA

Machine Learning with Rust, Second Edition

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