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

Functional programming in Julia

In this recipe, we will demonstrate how to use Julia to achieve functional style programming. We will create a function that takes another function as a parameter and returns a function again. Such an approach could be useful in writing computational code.

Getting ready

For the main part of this recipe, no installation is required.However, we will also show a plot of the processed function using theUnicodePlots.jlpackage. In order to install the package, press] key in the package manager type:

(v1.0) pkg>addUnicodePlots

This will install theUnicodePlots.jlpackage and all its requirements.


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...

To see how functional programming works in Julia, observe the following steps:

  1. In this recipe, we start by creating a function that generates as its result a new function that is a derivative of the original: