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Julia 1.0 Programming

You're reading from   Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications

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Product type Paperback
Published in Sep 2018
Publisher
ISBN-13 9781788999090
Length 196 pages
Edition 2nd 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 (12) 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. Other Books You May Enjoy

Digging deeper into the standard library


The standard library is written in Julia and is comprised of a very broad range of functionalities: from regular expressions, working with dates and times, a package manager, internationalization and Unicode, linear algebra, complex numbers, specialized mathematical functions, statistics, I/O and networking, Fast Fourier Transformations (FFT), and parallel computing, to macros, and reflection. Julia provides a firm and broad foundation for numerical computing and data science (for example, much of what NumPy has to offer is provided). Despite being targeted at numerical computing and data science, Julia aims to be a general-purpose programming language.

 

 

 

 

 

 

 

The source code of the standard library can be found in the share\julia\base and share\julia\stdlib subfolders of Julia's root installation folder. Coding in Julia leads almost naturally to this source code, for example, when viewing all the methods of a particular function with methods(), or...

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