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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Benchmarking runtime performance in the terminal

Benchmarking runtime is the process of timing how long it takes the code to run. This skill is invaluable since it helps compare performance. By externally measuring the runtime as opposed to instrumenting it within the code, we can easily proceed without understanding the inner working of the code. If we're on a Unix-like system such as Linux or OS X, we can use the time command, and on Windows systems, we can use Measure-Command with PowerShell.

Getting ready

Make sure our machine is either Unix-like (such as Linux or OS X) or Windows. Otherwise, we must search online for a way to time execution.

How to do it…

  1. On Unix-like systems, there is a built-in time command. When running any piece of code from the terminal, we can prefix it with time as follows:
    $ time runhaskell Main.hs
    real 0m0.663s
    user 0m0.612s
    sys 0m0.057s
    

    The argument to this command is run, and the system resource usage is immediately summarized. The actual accuracy...

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