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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
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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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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

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.

Note

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
        ...
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