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

Understanding the structure of Julia numeric types with introspection

Julia has a wealth of built-in numeric types, which users can make use of in order to achieve maximum time and memory efficiency of computations. Also, when writing methods, it is advisable to choose the most general numeric type to which a given method applies. However, it is hard to easily grasp the entire hierarchy of types. In this recipe, we show how you can explore the entire tree of base numeric types in Julia. Additionally, you will learn how to work with the type hierarchy in Julia.

The recipe is generic and can be applied to any other type.


Getting ready

Numeric types are the basic building blocks of any program. Julia provides a vast range of integer and floating-point numbers. In this recipe, you will inspect their hierarchy.


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