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

Setting up logging in your code

In simple workflows, users often use the print family of functions to report the state of their programs, for example, for debugging purposes. However, in Julia 1.0, we have built-in functionality enabling diagnostic messages from a program to be handled using custom loggers.

In this recipe, we will explain how you can use loggers to control what is reported by your application. In particular, we will explain how you can add debugging information to your application, yet only enable it on demand. 

Getting ready

Now, open your favorite terminal to execute the commands.


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

How to do it...

Here is a list of steps to be followed:

  1. First, load theLoggingmodule and then define a function that performs some operations on sets:
julia> using Logging

julia> function f(x)
           y = Set(x)
           for v in x