Book Image

Practical Data Science Cookbook, Second Edition - Second Edition

By : Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
Book Image

Practical Data Science Cookbook, Second Edition - Second Edition

By: Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda

Overview of this book

As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don’t. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface

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...