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Julia 1.0 Programming Cookbook

You're reading from   Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Length 460 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Przemysław Szufel Przemysław Szufel
Author Profile Icon Przemysław Szufel
Przemysław Szufel
Bogumił Kamiński Bogumił Kamiński
Author Profile Icon Bogumił Kamiński
Bogumił Kamiński
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installing and Setting Up Julia 2. Data Structures and Algorithms FREE CHAPTER 3. Data Engineering in Julia 4. Numerical Computing with Julia 5. Variables, Types, and Functions 6. Metaprogramming and Advanced Typing 7. Handling Analytical Data 8. Julia Workflow 9. Data Science 10. Distributed Computing 11. Other Books You May Enjoy

Executing loops efficiently with conditional statements


In this recipe, we want to calculate a sum of the positive entries of a large vector in an efficient way.

Getting ready

Open the Julia console. Make sure that you have the BenchmarkTools.jl package installed. If it is missing you can add it by running the following commands: using Pkg; Pkg.add("BenchmarkTools").

Before we begin, load the required packages and generate the vector over which we will perform a sum:

julia> using Random, BenchmarkTools

julia> Random.seed!(1);

julia> x = randn(10^6);

Notice that we use ; at the end of the expressions to suppress the output of the results.

Note

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

Now open your favorite terminal to execute the commands.

How to do it...

In the following steps, we investigate different methods for how the sum of positive values in a vector can be calculated, and then compare...

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