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

Using static arrays

The StaticArrays.jl package provides an interface and tools for the creation and manipulation of statically-sized arrays in Julia. Compared to a normal Array type, in a StaticArray the array size is part of the data type definition. The StaticArrays.jl package supports the creation of immutable as well as immutable arrays. The usage of statically-sized arrays in many scenarios leads to huge performance benefits since the array size is known to the compiler. This is particularly visible for small arrays (up to 100 elements). In this recipe, we show StaticArrays.jl can be used to boost the performance of Julia code.

Getting ready

For this recipe, you need to install theStaticArrays.jlpackage. In the Julia command line (REPL), press the] key to start the Julia package manager and run the command:

(v1.0) pkg> add StaticArrays

This will install theStaticArrays.jllibrary and all its dependencies.


Additionally, to measure the performance of static arrays, we will use theBenchmarkTools...