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Scala for Data Science

You're reading from   Scala for Data Science Leverage the power of Scala with different tools to build scalable, robust data science applications

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785281372
Length 416 pages
Edition 1st Edition
Languages
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Author (1):
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Pascal Bugnion Pascal Bugnion
Author Profile Icon Pascal Bugnion
Pascal Bugnion
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Toc

Table of Contents (17) Chapters Close

Preface 1. Scala and Data Science FREE CHAPTER 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 A. Pattern Matching and Extractors Index

Installing Breeze


If you have downloaded the code examples for this book, the easiest way of using Breeze is to go into the chap02 directory and type sbt console at the command line. This will open a Scala console in which you can import Breeze.

If you want to build a standalone project, the most common way of installing Breeze (and, indeed, any Scala module) is through SBT. To fetch the dependencies required for this chapter, copy the following lines to a file called build.sbt, taking care to leave an empty line after scalaVersion:

scalaVersion := "2.11.7"

libraryDependencies ++= Seq(
  "org.scalanlp" %% "breeze" % "0.11.2",
  "org.scalanlp" %% "breeze-natives" % "0.11.2"
)

Open a Scala console in the same directory as your build.sbt file by typing sbt console in a terminal. You can check that Breeze is working correctly by importing Breeze from the Scala prompt:

scala> import breeze.linalg._
import breeze.linalg._
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