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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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Tools
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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

Metaprogramming in Julia

Everything in Julia is an expression that returns a value when executed. Every piece of the program code is internally represented as an ordinary Julia data structure, also called an expression. In this chapter, we will see how, by working on expressions, a Julia program can transform and even generate new code. This is a very powerful characteristic, also called homoiconicity. It inherits this property from Lisp, where code and data are just lists, and where it is commonly referred to with the phrase: Code is data and data is code.

In homoiconic languages, code can be expressed in terms of the language syntax. This is the case for the Lisp-like family of languages: Lisp, Scheme and, more recently, Clojure, which use s-expressions. Julia is homoiconic, as are others such as Prolog, IO, Rebol, and Red. As such, these are able to generate code duringĀ ...

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