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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

Community groups


The number of packages written in Julia continues to grow at a superlinear rate. At the time of writing, there are more than 600 registered packages and many more available from programmers on GitHub but as yet unregistered with the Julialang group.

As usual, developers tended to make use of their own packages when writing new ones than those of colleagues and eventually those from the community at large.

This has led to the formation of groups of developers with shared interests, these are termed community groups and are referenced on the Julia website as part of the community section (http://julialang.org/community/).

Some of the larger groups such as JuliaStats and JuliaOpt maintain their own websites separate from GitHub and individual package documentation sources may also be found at http://readthedocs.org.

For example, the JuliaStats web pages are on http://statsbasejl.readthedocs.org/ and the documentation for the StatsBase package is to be found on http://statsbasejl...

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Mastering Julia
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