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NumPy Beginner's Guide

You're reading from   NumPy Beginner's Guide An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library.

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Product type Paperback
Published in Apr 2013
Publisher Packt
ISBN-13 9781782166085
Length 310 pages
Edition 2nd Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (19) Chapters Close

Numpy Beginner's Guide Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. NumPy Quick Start FREE CHAPTER 2. Beginning with NumPy Fundamentals 3. Get in Terms with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Move Further with NumPy Modules 7. Peeking into Special Routines 8. Assure Quality with Testing 9. Plotting with Matplotlib 10. When NumPy is Not Enough – SciPy and Beyond 11. Playing with Pygame Pop Quiz Answers Index

Time for action – simulating a game show


Imagine a game show where every time the contestants answer a question correctly, they get to pull three balls from a jar and then put them back. Now there is a catch, there is one ball in there that is bad. Every time it is pulled out, the contestants lose six points. If however, they manage to get out three of the 25 normal balls, they get one point. So, what is going to happen if we have 100 questions in total? In order to get a solution for this, go through the following steps:

  1. Initialize the outcome of the game with the hypergeometric function. The first parameter of this function is the number of ways to make a good selection, the second parameter is the number of ways to make a bad selection, and the third parameter is the number of items sampled.

    points = np.zeros(100)
    outcomes = np.random.hypergeometric(25, 1, 3, size=len(points))
  2. Set the scores based on the outcomes from the previous step.

    for i in range(len(points)):
        if outcomes[i] == 3...
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