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Clojure Data Analysis Cookbook - Second Edition

You're reading from Clojure Data Analysis Cookbook - Second Edition Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

Product type Paperback

Published in Jan 2015

Publisher

ISBN-13 9781784390297

Length 372 pages

Edition 2nd Edition

Languages

Clojure

Tools

Leiningen

Concepts

Data Analysis

Author (1):

Eric Richard Rochester

View More author details

Table of Contents (14) Chapters

Preface

1. Importing Data for Analysis FREE CHAPTER

2. Cleaning and Validating Data

3. Managing Complexity with Concurrent Programming

4. Improving Performance with Parallel Programming

5. Distributed Data Processing with Cascalog

6. Working with Incanter Datasets

7. Statistical Data Analysis with Incanter

8. Working with Mathematica and R

9. Clustering, Classifying, and Working with Weka

10. Working with Unstructured and Textual Data

11. Graphing in Incanter

12. Creating Charts for the Web

Index

Chapter 3. Managing Complexity with Concurrent Programming

In this chapter, we will cover:

Managing program complexity with STM
Managing program complexity with agents
Getting better performance with commute
Combining agents and STM
Maintaining consistency with ensure
Introducing safe side effects into the STM
Maintaining data consistency with validators
Monitoring processing with watchers
Debugging concurrent programs with watchers
Recovering from errors in agents
Managing large inputs with sized queues

The rest of the chapter is locked

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Authors (1)

Rochester

Rochester

Eric Richard Rochester Studied medieval English literature and linguistics at UGA. Dissertated on lexicography. Now he programs in Haskell and writes. He's also a husband and parent.

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