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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

Summary


In this chapter, we have learned about working with dates and times in Julia. The language provides a powerful, yet accessible API that follows Julia's overall philosophy—you can start simple and augment your code as you become more knowledgeable. Thus, by default, the date/time objects use local time, ignoring complex details like time zones. However, time zone support is only one package away. We have seen how to extend Julia's Dates API by using the functionality provided by TimeZones.

Using our understanding of temporal data, we were able to take yet another step towards becoming proficient Julia programmers and learned about time series and the powerful TimeArray. We've seen how to plot time series with Plots, an extremely versatile plotting library for Julia—in fact, it's middleware providing a common API for a series of visualization packages, allowing us to swap backends as needed.

In the next chapter, we will continue our discussion of time series by performing analytics and...

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