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


Bymetaprogramming, we refer to the ability of a program to interact with its own code, where the code itself is represented in the data structures of that language. In Julia, this powerful functionality is available on many levels. In this recipe, we will introduce metaprogramming concepts by showing how Julia struct data types can be generated automatically on the base of input data. This example could be useful in situations where some data has a structure which is not known in advance and subsequently needs to be processed and stored in Julia data structures.

Getting ready

For this recipe, no package installation is required. Simply start the Julia command line.


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...

Consider a situation where we have some comma-separated data:


This data could be contained in a file but, in our example...