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Getting started with Julia Programming Language

You're reading from   Getting started with Julia Programming Language Enter the exciting world of Julia, a high-performance language for technical computing

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783284795
Length 214 pages
Edition 1st Edition
Languages
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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 (14) Chapters Close

Preface The Rationale for Julia FREE CHAPTER 1. Installing the Julia Platform 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 A. List of Macros and Packages Index

Digging deeper into the standard library


The standard library is written in Julia and comprises of a very broad range of functionalities: from regular expressions, working with dates and times (in v 0.4), a package manager, internationalization and Unicode, linear algebra, complex numbers, specialized mathematical functions, statistics, I/O and networking, Fast Fourier Transformations (FFT), 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 subfolder 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 when using the @which macro...

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