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Julia 1.0 Programming Cookbook

You're reading from  Julia 1.0 Programming Cookbook

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Pages 460 pages
Edition 1st Edition
Languages
Authors (2):
Bogumił Kamiński Bogumił Kamiński
Profile icon Bogumił Kamiński
Przemysław Szufel Przemysław Szufel
Profile icon Przemysław Szufel
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Installing and Setting Up Julia 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 1. Other Books You May Enjoy Index

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 to this:

$ git log --stat
commit 14f30ad448a5d38be38c7b0e7274f0f7b0a951ee (HEAD -> master, upstream/master)
Author: Bogumił Kamiński <bkamins@sgh.waw.pl>
Date: Mon Jun 18 21:40:46 2018 +0200

    Allow aggregate to use column number for aggregation (#1426)

 src/groupeddataframe/grouping...
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