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Practical Big Data Analytics

You're reading from  Practical Big Data Analytics

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Pages 412 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Nataraj Dasgupta Nataraj Dasgupta
Profile icon Nataraj Dasgupta

Table of Contents (16) Chapters

Title Page
Packt Upsell
Contributors
Preface
Too Big or Not Too Big Big Data Mining for the Masses The Analytics Toolkit Big Data With Hadoop Big Data Mining with NoSQL Spark for Big Data Analytics An Introduction to Machine Learning Concepts Machine Learning Deep Dive Enterprise Data Science Closing Thoughts on Big Data External Data Science Resources Other Books You May Enjoy

Installing Python


We proceed with the installation as follows:

  1. Similar to R, Python has gained popularity due to its versatile and diverse range of packages. Python is generally available as part of most modern Linux-based operating systems. For our exercises, we will use Anaconda from Continuum Analytics®, which enhances the base open source Python offering with many data-mining- and machine-learning-related packages that are installed natively as part of the platform. This alleviates the need for the practitioner to manually download and install packages. In that sense, it is conceptually similar in spirit to Microsoft R Open. Just as Microsoft R enhances the base open source R offering with additional functionality, Anaconda improves upon the offerings of base open source Python to provide new capabilities.
  1. Steps for installing Anaconda Python
  2. Go to https://www.continuum.io/downloads:

Python Anaconda Homepage

  1. Download the distribution that is appropriate for your system. Note that we'll be...
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