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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 FREE CHAPTER 2. Data Structures and Algorithms 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

Parsing Git logs with regular expressions

One of the very common tasks in data science is parsing logs produced by some application. In this recipe, we will write a simple snippet that presents how we can analyze the contributions of committers to the Git repository.

Getting ready

In order to run this recipe, you need to have the DataFrames.jl and DataFramesMeta.jl packages installed. If they are missing run the following commands to add them:

julia> using Pkg

julia> Pkg.add("DataFrames")

julia> Pkg.add("DataFramesMeta")

Also, you need to have Git installed. You can get it from https://git-scm.com/.

When you run the git log --stat command on a repository, it prints output that looks similar...

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