Book Image

Julia 1.0 Programming Cookbook

By : Bogumił Kamiński, Przemysław Szufel
Book Image

Julia 1.0 Programming Cookbook

By: Bogumił Kamiński, Przemysław Szufel

Overview of this book

Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data
Table of Contents (18 chapters)
Title Page
Copyright and Credits
About Packt

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


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...