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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

Multithreading in Julia

In this recipe, we use Julia's multithreading mechanism to speed up computations of statistics over a large DataFrame.

Getting ready

For this recipe, you need to use the DataFrames.jl and BenchmarkTools.jl packages, which can be installed with the Julia package manager. If you need to add them then in the Julia command line, press the ] key and run these commands:

(v1.0) pkg> add DataFrames
(v1.0) pkg> add BenchmarkTools

This will install the DataFrames.jl and BenchmarkTools.jl packages and all their dependencies.

In this recipe, we use Julia's threading mechanism. The number of threads is controlled via the JULIA_NUM_THREADS system variable, which needs to be assigned before starting...

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