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Julia 1.0 Programming Cookbook

You're reading from  Julia 1.0 Programming Cookbook

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Pages 460 pages
Edition 1st Edition
Languages
Authors (2):
Bogumił Kamiński Bogumił Kamiński
Profile icon Bogumił Kamiński
Przemysław Szufel Przemysław Szufel
Profile icon Przemysław Szufel
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Installing and Setting Up Julia 2. Data Structures and Algorithms 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 1. Other Books You May Enjoy Index

Working with NamedTuples


The NamedTuple abstract type is a convenient immutable data structure that allows its elements to be accessed by name and by index. A typical way of thinking about them is that they are tuples with optional name information attached to data slots. However, there is one important distinction between these two types. While tuples are covariant, named tuples are invariant. In other words, NamedTuple, in terms of subtyping, behaves like any other struct type. This has important consequences for the method dispatch mechanism.

Getting ready

Note

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

Now open your favorite terminal to execute commands.

How to do it...

The first step is to create two tuples and two named tuples:

julia> t1 = (1, 2)
(1, 2)

julia> t2 = (1.0, 2)
(1.0, 2)

julia> nt1 = (a=1, b=2)
(a = 1, b = 2)

julia> nt2 = (a=1.0, b=2)
(a = 1.0, b = 2)

Now, because...

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