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

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


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...