Scientific Computing with Scala电子书

Scientific Computing with Scala

Table of Contents

Scientific Computing with Scala

Credits

About the Author

About the Reviewer

www.PacktPub.com

eBooks, discount offers, and more

Why subscribe?

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Introducing Scientific Computing with Scala

Why Scala for scientific computing?

What are the advantages compared to C/C++/Java?

What are the advantages compared to MATLAB/Python/R?

Scala does parallelism well

Any downsides?

Numerical computing packages for Scala

Scalala

Breeze

ScalaLab

Data analysis packages for Scala

Saddle

MLlib

Other scientific software

FACTORIE

Cassovary

Figaro

Alternatives for doing plotting

Using Emacs as the Scala IDE

Profiling Scala code

Debugging Scala code

Building, testing, and distributing your Scala software

Directory structure

Testing Scala code with the help of SBT

ENSIME and SBT integration

Distributing your software

Mixing Java and Scala code

Summary

2. Storing and Retrieving Data

Reading and writing CSV files

Reading files in Scala

Parsing CSV data

Processing CSV data

Reading and writing JSON files

Spray-JSON

SON of JSON

Argonaut

Reading and writing XML files

Database access using JDBC

Database access using Slick

Plain SQL

Reading and writing HDF5 files

Summary

3. Numerical Computing with Breeze

Using Breeze in your project

Basic Breeze data structures

DenseVector

DenseMatrix

Indexing and slicing

Reshaping

Concatenation

Statistical computing with Breeze

Optimization

Signal processing

Fourier transforms

Other signal processing functionality

Cheat sheet

Creating matrices and vectors

Operations on matrices and vectors

Summary

4. Using Saddle for Data Analysis

Installing Saddle

Basic Saddle data structures

Using the Vec structure

Using arithmetic operations in Vec

Data access in Vec

Implementing the slice method in Vec

Statistic calculation in Vec

Using the Mat structure

Creating a matrix with Mat

Applying arithmetic operators in Mat structures

Using Matrix in the Mat structure

Series

Implementing the groupBy method in the Series structure

Applying the transform method in Series

Using numerical operators in Series

Joining Series using the join operation

Applying index.LeftJoin

Applying index.RightJoin

Applying index.InnerJoin

Applying index.OuterJoin

Frame

Using the rowAt method in Frame

Using the sortedColsBy method in Frame

Data analysis with Saddle

Using Breeze with Saddle

Summary

5. Interactive Computing with ScalaLab

Installing and running ScalaLab

Basic ScalaSci data structures

Vector

Matrix

Other ScalaSci functionality

Data storage and retrieval

Plotting with ScalaLab

Other ScalaLab features

Doing symbolic algebra using symja

Summary

6. Parallel Programming in Scala

Programming with Scala threads

A simple Scala thread example

Synchronization

Monte-Carlo pi calculation

Using Scala's parallel collections

Agent-based concurrency with the Akka framework

Monte-Carlo pi revisited

Using routing

Waiting for a reply

Summary

7. Cluster Computing Using Scala

Using MPJ Express for distributed computing

Setting up and running MPJ Express

Using Send and Recv

Sending Scala objects in MPJ Express messages

Non-blocking communication

Scatter and Gather

Setting up MPJ Express on clusters

Using an Akka cluster for distributed computing

Summary

8. Scientific Plotting with Scala

Plotting with JFreeChart

Using JFreeChart in your project

Creating a line plot

Creating a histogram

Creating a bar chart

Creating a box-and-whisker chart

Other plot types

Saving charts to a file

Plotting with scala-chart

Installing scala-chart

Creating a line plot

Creating a histogram

Creating a bar chart

Creating a box-and-whisker chart

Saving charts to a file

Plotting with Wisp

Creating a line plot

Creating a histogram

Creating a bar chart

Creating a box-and-whisker chart

Creating a linear regression plot

Interacting with the server

Summary

9. Visualizing Multi-Dimensional Data in Scala

Obtaining data to visualize

Andrews curve

Parallel coordinates

Scatter plot matrix

Sammon mapping

Improving the program

Summary

Index