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Julia 1.0 Programming Cookbook

You're reading from   Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Length 460 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Przemysław Szufel Przemysław Szufel
Author Profile Icon Przemysław Szufel
Przemysław Szufel
Bogumił Kamiński Bogumił Kamiński
Author Profile Icon Bogumił Kamiński
Bogumił Kamiński
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installing and Setting Up Julia 2. Data Structures and Algorithms FREE CHAPTER 3. Data Engineering in Julia 4. Numerical Computing with Julia 5. Variables, Types, and Functions 6. Metaprogramming and Advanced Typing 7. Handling Analytical Data 8. Julia Workflow 9. Data Science 10. Distributed Computing 11. Other Books You May Enjoy

Macros and generated functions


Julia provides a very powerful macro system that lets include generated code in the body of your program. They are executed at compile time and enable you to operate on the source code's Abstract Syntax Tree (AST).

Getting ready

Macros and generated functions are a built-in language functionality, and hence no installation is required. However, in this recipe, we will be also measuring the code performance. For this purpose, theBenchmarkTools.jlpackage will be used. In order to install it press the] key to start the Julia package manager and type:

(v1.0) pkg>addBenchmarkTools

Note

In the GitHub repository for this recipe, you will find the commands.txt file that contains the presented sequence of Julia commands.

How to do it...

This recipe contains two parts. In the first part, we will illustrate how to use Julia to construct a macro to cache the results of a function. In the second part, we will show you how to write a generated function that speeds up computing...

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