Mastering Clojure Data Analysis
This book consists of a practical, example-oriented approach that aims to help you learn how to use Clojure for data analysis quickly and efficiently. This book is great for those who have experience with Clojure and need to use it to perform data analysis. This book will also be hugely beneficial for readers with basic experience in data analysis and statistics.
1117270747
Mastering Clojure Data Analysis
This book consists of a practical, example-oriented approach that aims to help you learn how to use Clojure for data analysis quickly and efficiently. This book is great for those who have experience with Clojure and need to use it to perform data analysis. This book will also be hugely beneficial for readers with basic experience in data analysis and statistics.
29.99 In Stock
Mastering Clojure Data Analysis

Mastering Clojure Data Analysis

by Eric Rochester
Mastering Clojure Data Analysis

Mastering Clojure Data Analysis

by Eric Rochester

eBook

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Overview

This book consists of a practical, example-oriented approach that aims to help you learn how to use Clojure for data analysis quickly and efficiently. This book is great for those who have experience with Clojure and need to use it to perform data analysis. This book will also be hugely beneficial for readers with basic experience in data analysis and statistics.

Product Details

ISBN-13: 9781783284146
Publisher: Packt Publishing
Publication date: 05/26/2014
Sold by: Barnes & Noble
Format: eBook
Pages: 340
File size: 6 MB

About the Author

Eric Rochester enjoys reading, writing, and spending time with his wife and kids. When he's not doing these things, he likes to work on programs in a variety of languages and platforms. Currently, he is exploring functional programming languages, including Clojure and Haskell. He has also written Clojure Data Analysis Cookbook, Packt Publishing. He works at the Scholars' Lab library at the University of Virginia, helping the professors and graduate students of humanities realize their digitally informed research agendas.
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