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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

Numbers


Julia provides a broad range of primitive numeric types, together with the full range of arithmetic and bitwise operators and standard mathematical functions. We have at our disposal a rich hierarchy of numeric types, with the most generic being Number—which defines two subtypes, Complex and Real. Conversely, Real has four subtypes—AbstractFloat, Integer, Irrational, and Rational. Finally, Integer branches into four other subtypes—BigInt, Bool, Signed, and Unsigned.

Let's take a look at the most important categories of numbers.

 

Integers

Literal integers are represented simply as follows:

julia> 42

The default Integer type, called Int, depends on the architecture of the system upon which the code is executed. It can be either Int32 or Int64. On my 64-bit system, I get it as follows:

julia> typeof(42) 
Int64

The Int type will reflect that, as it's just an alias to either Int32 or Int64:

julia> @show Int 
Int = Int64 

Overflow behavior

The minimum and maximum values are given by the...

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