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Julia Programming Projects

You're reading from   Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788292740
Length 500 pages
Edition 1st Edition
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Author (1):
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Adrian Salceanu Adrian Salceanu
Author Profile Icon Adrian Salceanu
Adrian Salceanu
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Julia Programming FREE CHAPTER 2. Creating Our First Julia App 3. Setting Up the Wiki Game 4. Building the Wiki Game Web Crawler 5. Adding a Web UI for the Wiki Game 6. Implementing Recommender Systems with Julia 7. Machine Learning for Recommender Systems 8. Leveraging Unsupervised Learning Techniques 9. Working with Dates, Times, and Time Series 10. Time Series Forecasting 11. Creating Julia Packages 12. Other Books You May Enjoy

Defining the date ranges


Julia allows us to define ranges of dates to express continuous periods of time. For example, we could represent the whole year as the range of days between January 1 and December 31:

julia> year_2019 = Date(2019, 1, 1):Day(1):Date(2019,12,31) 
2019-01-01:1 day:2019-12-31

We have created a date range with a step of one day—so 365 items, since 2019 is not a leap year:

julia> typeof(year_2019) 
StepRange{Date,Day} 

julia> size(year_2019) 
(365,)

We can instantiate the actual Date objects using the aptly named collect function:

julia> collect(year_2019) 
365-element Array{Date,1}: 
 2019-01-01 
 2019-01-02 
 2019-01-03 
# output truncated

Also, of course, we can access the elements by index as follows:

julia> year_2019[100] # day 100 
2019-04-10

It's also possible to define ranges with other steps, such as monthly intervals:

julia> year_2019 = Date(2019, 1, 1):Month(1):Date(2019,12,31) 
2019-01-01:1 month:2019-12-01 

julia> collect(year_2019) # First day...
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