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Big Data Visualization

You're reading from   Big Data Visualization Bring scalability and dynamics to your Big Data visualization

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785281945
Length 304 pages
Edition 1st Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Python and big data


Python is a very good choice for big data manipulations and, as we'll see in this chapter, for addressing big data outliers. This is due to the following points:

  • It's easy to understand and use. You can learn Python relatively quickly and get on to the true task at hand: manipulating and processing your big data.

  • Python comes with a wide range of prebuilt libraries focused on data processing, visualization, and other data manipulations. This saves, even more, Python is very versatile and powerful and has increased in popularity of thetime by providing solutions to the most fundamental tasks required to process big data.

  • Although Python is a general purpose language that runs just about anywhere, it is flexible and nimble enough to provide the ability to create very custom solutions to address unique problems associated with big data.

All the preceding features prove the point for using Python for manipulating and processing big data to generate quick insights valuable to...

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