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Scala for Data Science

You're reading from  Scala for Data Science

Product type Book
Published in Jan 2016
Publisher
ISBN-13 9781785281372
Pages 416 pages
Edition 1st Edition
Languages
Author (1):
Pascal Bugnion Pascal Bugnion
Profile icon Pascal Bugnion

Table of Contents (22) Chapters

Scala for Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Scala and Data Science 2. Manipulating Data with Breeze 3. Plotting with breeze-viz 4. Parallel Collections and Futures 5. Scala and SQL through JDBC 6. Slick – A Functional Interface for SQL 7. Web APIs 8. Scala and MongoDB 9. Concurrency with Akka 10. Distributed Batch Processing with Spark 11. Spark SQL and DataFrames 12. Distributed Machine Learning with MLlib 13. Web APIs with Play 14. Visualization with D3 and the Play Framework Pattern Matching and Extractors Index

GitHub follower graph


In the previous two chapters, we explored the GitHub API, learning how to query the API and parse the results using json-4s.

Let's imagine that we want to extract the GitHub follower graph: we want a program that will start from a particular user, extract this user followers, and then extract their followers until we tell it to stop. The catch is that we don't know ahead of time what URLs we need to fetch: when we download the login names of a particular user's followers, we need to verify whether we have fetched these users previously. If not, we add them to a queue of users whose followers we need to fetch. Algorithm aficionados might recognize this as breadth-first search.

Let's outline how we might write this in a single-threaded way. The central components are a set of visited users and queue of future users to visit:

val seedUser = "odersky" // the origin of the network

// Users whose URLs need to be fetched 
val queue = mutable.Queue(seedUser) 

// set of users...
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