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Mastering Julia

Mastering Julia

By : Malcolm Sherrington
4.4 (7)
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Mastering Julia

Mastering Julia

4.4 (7)
By: Malcolm Sherrington

Overview of this book

Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.
Table of Contents (12 chapters)
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11
Index

Chapter 1. The Julia Environment

In this chapter, we explore all you need to get started on Julia, to build it from source or to get prebuilt binaries. Julia can also be downloaded bundled with the Juno IDE. It can be run using IPython, and this is available on the Internet via the https://juliabox.org/ website. Julia is a high-level, high-performance dynamic programming language for technical computing. It runs on Linux, OS X, and Windows. We will look at building it from source on CentOS Linux, as well as downloading as a prebuilt binary distribution. We will normally be using v0.3.x, which is the stable version at the time of writing but the current development version is v0.4.x and nightly builds can be downloaded from the Julia website.

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Mastering Julia
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