Book Image

Practical Data Science Cookbook

By : Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta
Book Image

Practical Data Science Cookbook

By: Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta

Overview of this book

<p>As increasing amounts of data is generated each year, the need to analyze and operationalize it is more important than ever. Companies that know what to do with their data will have a competitive advantage over companies that don't, and this will drive a higher demand for knowledgeable and competent data professionals.</p> <p>Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide 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 in the two most popular programming languages for data analysis—R and Python.</p>
Table of Contents (18 chapters)
Practical Data Science Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Preparing to work with social networks in Python


One of Python's key advantages that merits repeating is the number of excellent premade 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
    
  3. Now, we must install the python-louvain package:

    pip install python-louvain
    

How it works...

NetworkX is a well...