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You're reading from  Frank Kane's Taming Big Data with Apache Spark and Python

Product typeBook
Published inJun 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787287945
Edition1st Edition
Languages
Python
Tools
Apache Spark
Concepts
Big Data
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Author (1)
Frank Kane
Frank Kane
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Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
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Running the average friends by age example

Okay, let's make it real, let's actually get some real code and some real data and analyze the average number of friends by age in our fabricated dataset here, and see what we come up with.

At this point, you should go to the download package for this book, if you haven't already, and download two things: one is the friends-by-age Python script, and the other is the fakefriends.csv file, which is my randomly generated data that's completely fictitious, but useful for illustration. So go take care of that now. When you're done, move it into your C:\SparkCourse folder or wherever you're installing stuff for this course. At this point in the course, your SparkCourse folder should look like this:

At this moment, we need friends-by-age.py and fakefriends.csv, so let's double-click on the friends-by-age.py script, and Enthought Canopy or your Python environment of choice should come up. Here we have it:

Examining the script

So let's just review again what...

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Frank Kane's Taming Big Data with Apache Spark and Python
Published in: Jun 2017Publisher: PacktISBN-13: 9781787287945
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Read more about Frank Kane

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