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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 – twiddling bits


We will go over three tricks—checking whether the signs of integers are different, checking whether a number is a power of two, and calculating the modulus of a number that is a power of two. We will show an operators-only notation and one using the corresponding NumPy functions:

  1. The first trick depends on the XOR or ^ operator. The XOR operator is also called the inequality operator; so, if the sign bit of the two operands is different, the XOR operation will lead to a negative number. ^ corresponds to the bitwise_xor function. < corresponds to the less function.

    x = np.arange(-9, 9)
    y = -x
    print "Sign different?", (x ^ y) < 0
    print "Sign different?", np.less(np.bitwise_xor(x, y), 0)

    The result is shown as follows:

    Sign different? [ True  True  True  True  True  True  True  True  True False  True  True
      True  True  True  True  True  True]
    Sign different? [ True  True  True  True  True  True  True  True  True False  True  True
      True  True  True  True...
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