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 date and time

Julia offers full date and time support and arithmetic via theDatesbase module.

In Julia, similar to other languages, handling of dates is done via two types:

  • Date: Represents the date without the time (just the year, month, and day)
  • DateTime: Represents the date, along with the millisecond precision time

Getting ready

No installation is required for this recipe. Simply start the Julia command line.



In the GitHub repository for this recipe, you will find the commands.txt file, which contains the presented sequence of Julia commands.

How to do it...

To see how dates are processed in Julia, please follow the steps as shown:

  1. Support for date and time handling is available via the Dates standard module, which needs to be imported: 
julia> usingDates
  1. In order to get the current time, use thenowfunction:
julia> ts =

julia> typeof(ts)

This function returns an object ofDateTimetype.

  1. In order to create an arbitrary date, simply...