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Julia 1.0 Programming Complete Reference Guide

You're reading from   Julia 1.0 Programming Complete Reference Guide Discover Julia, a high-performance language for technical computing

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Product type Course
Published in May 2019
Publisher
ISBN-13 9781838822248
Length 466 pages
Edition 1st Edition
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Author (1):
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Ivo Balbaert Ivo Balbaert
Author Profile Icon Ivo Balbaert
Ivo Balbaert
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Table of Contents (18) Chapters Close

Preface 1. Installing the Julia Platform FREE CHAPTER 2. Variables, Types, and Operations 3. Functions 4. Control Flow 5. Collection Types 6. More on Types, Methods, and Modules 7. Metaprogramming in Julia 8. I/O, Networking, and Parallel Computing 9. Running External Programs 10. The Standard Library and Packages 11. Creating Our First Julia App 12. Setting Up the Wiki Game 13. Building the Wiki Game Web Crawler 14. Adding a Web UI for the Wiki Game 15. Implementing Recommender Systems with Julia 16. Machine Learning for Recommender Systems 17. Other Books You May Enjoy

Parallel operations and computing

In our multicore CPU and clustered computing world, it is imperative for a new language to have excellent parallel computing capabilities. This is one of the main strengths of Julia: providing an environment based on message-passing between multiple processes that can execute on the same machine or on remote machines.

In that sense, it implements the actor model (as Erlang, Elixir, and Pony do), but we'll see that the actual coding happens on a higher level than receiving and sending messages between processes, or workers (processors) as Julia calls them. The developer only needs to explicitly manage the main process from which all other workers are started. The message send and receive operations are simulated by higher-level operations that look like function calls.

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