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Apache Spark for Data Science Cookbook

You're reading from   Apache Spark for Data Science Cookbook Solve real-world analytical problems

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Product type Paperback
Published in Dec 2016
Publisher
ISBN-13 9781785880100
Length 392 pages
Edition 1st Edition
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Authors (2):
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Padma Priya Chitturi Padma Priya Chitturi
Author Profile Icon Padma Priya Chitturi
Padma Priya Chitturi
Nagamallikarjuna Inelu Nagamallikarjuna Inelu
Author Profile Icon Nagamallikarjuna Inelu
Nagamallikarjuna Inelu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Big Data Analytics with Spark 2. Tricky Statistics with Spark FREE CHAPTER 3. Data Analysis with Spark 4. Clustering, Classification, and Regression 5. Working with Spark MLlib 6. NLP with Spark 7. Working with Sparkling Water - H2O 8. Data Visualization with Spark 9. Deep Learning on Spark 10. Working with SparkR

Installing Pandas from source


In this recipe, we will see how to install Pandas from Source on Linux. Before proceeding with the installation, let's consider the version of Python we're going to use. There are two versions or flavors of Python, namely Python 2.7.x and Python 3.x. Although the latest version, Python 3.x, appears to be the better choice, for scientific, numeric, or data analysis work, Python 2.7 is recommended.

Getting ready

To step through this recipe, you need Ubuntu 14.04 (Linux flavor) installed on the machine. Python comes pre-installed. The python --version command gives the version of Python installed. If the version seems to be 2.6.x, upgrade it to Python 2.7 as follows:

    sudo apt-get install python2.7

How to do it…

  1. Install the easy_install program:

           wget http://python-distribute.org/distribute_setup.pysudo python 
           distribute_setup.py
    
    
  2. Install Cython:

           sudo easy_install -U Cython
    
    
  3. Install from the source code as follows:

       ...
You have been reading a chapter from
Apache Spark for Data Science Cookbook
Published in: Dec 2016
Publisher:
ISBN-13: 9781785880100
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