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Practical Data Analysis Cookbook

You're reading from   Practical Data Analysis Cookbook Over 60 practical recipes on data exploration and analysis

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781783551668
Length 384 pages
Edition 1st Edition
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Author (1):
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Tomasz Drabas Tomasz Drabas
Author Profile Icon Tomasz Drabas
Tomasz Drabas
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Toc

Table of Contents (13) Chapters Close

Preface 1. Preparing the Data FREE CHAPTER 2. Exploring the Data 3. Classification Techniques 4. Clustering Techniques 5. Reducing Dimensions 6. Regression Methods 7. Time Series Techniques 8. Graphs 9. Natural Language Processing 10. Discrete Choice Models 11. Simulations Index

Determining if a population of sheep is in danger of extinction due to a wolf pack

One of the most famous agent-based simulations is the sheep-wolf predation example.

The model simulates two populations of animals: sheep and wolves coexisting together on a plane. Sheep move around and eat grass that grows on the plane; eating grass gives the sheep energy. Wolves predate sheep and that is how they get their energy. To move around the plane costs the animal some energy. If any animal's energy falls below 0, it dies.

In this recipe, we will build a 300-by-300 plane (grid) and populate it with 6,000 sheep and 200 wolves (initially). We will also introduce the concept of inheritance: we will create a generic Animal class and then derive Sheep and Wolf classes from it. The idea behind it is simple: as the animals share some common characteristic (that is, both of them need to move around the plane), we do not have to implement the same code in two places of the script.

Getting ready

To execute...

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