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Practical Data Science Cookbook, Second Edition

You're reading from   Practical Data Science Cookbook, Second Edition Data pre-processing, analysis and visualization using R and Python

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787129627
Length 434 pages
Edition 2nd Edition
Languages
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Authors (5):
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Anthony Ojeda Anthony Ojeda
Author Profile Icon Anthony Ojeda
Anthony Ojeda
Prabhanjan Narayanachar Tattar Prabhanjan Narayanachar Tattar
Author Profile Icon Prabhanjan Narayanachar Tattar
Prabhanjan Narayanachar Tattar
ABHIJIT DASGUPTA ABHIJIT DASGUPTA
Author Profile Icon ABHIJIT DASGUPTA
ABHIJIT DASGUPTA
Sean P Murphy Sean P Murphy
Author Profile Icon Sean P Murphy
Sean P Murphy
Bhushan Purushottam Joshi Bhushan Purushottam Joshi
Author Profile Icon Bhushan Purushottam Joshi
Bhushan Purushottam Joshi
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Toc

Table of Contents (12) Chapters Close

Preface 1. Preparing Your Data Science Environment FREE CHAPTER 2. Driving Visual Analysis with Automobile Data with R 3. Creating Application-Oriented Analyses Using Tax Data and Python 4. Modeling Stock Market Data 5. Visually Exploring Employment Data 6. Driving Visual Analyses with Automobile Data 7. Working with Social Graphs 8. Recommending Movies at Scale (Python) 9. Harvesting and Geolocating Twitter Data (Python) 10. Forecasting New Zealand Overseas Visitors 11. German Credit Data Analysis

Preparing to work with social networks in Python


One of Python's key advantages that merits repeating is the number of excellent pre-made packages available for the language; fortunately for us, network analysis is no exception. This short recipe will walk you through installing the libraries you'll need for the rest of this chapter.

Getting ready

The required external libraries for the tasks in this chapter are as follows:

  • NetworkX
  • matplotlib
  • python-louvain

How to do it...

We will use the following steps that should be familiar at this point to prepare for the remaining recipes:

  1. Open a new Terminal or Command Prompt and change to your project directory.
  2. If you are using a virtual environment, activate your virtual environment and type the following:
pip install networkx

If you are not using a virtual environment, you will most likely need to use sudo, as follows:

sudo pip install networkx
  1. Now, we must install the python-louvain package:
pip install python-louvain

How it works...

NetworkX is a well...

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