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NumPy Cookbook

You're reading from   NumPy Cookbook If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.

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Product type Paperback
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Length 226 pages
Edition 1st Edition
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Table of Contents (17) Chapters Close

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts FREE CHAPTER 3. Get to Grips with Commonly Used Functions 4. Connecting NumPy with the Rest of the World 5. Audio and Image Processing 6. Special Arrays and Universal Functions 7. Profiling and Debugging 8. Quality Assurance 9. Speed Up Code with Cython 10. Fun with Scikits Index

Summing Fibonacci numbers


In this recipe, we will sum the even-valued terms in the Fibonacci sequence whose values do not exceed four million. The Fibonacci series is a sequence of integers starting with zero, where each number is the sum of the previous two; except, of course, the first two numbers zero and one.

Note

For more information, read the Wikipedia article about Fibonacci numbers at http://en.wikipedia.org/wiki/Fibonacci_number .

This recipe uses a formula based on the golden ratio, which is an irrational number with special properties comparable to pi. It we will use the sqrt, log, arange, astype, and sum functions.

How to do it...

The first thing to do is calculate the golden ratio (http://en.wikipedia.org/wiki/Golden_ratio), also called the golden section or golden mean.

  1. Calculate the golden ratio.

    We will be using the sqrt function to calculate the square root of five:

    phi = (1 + numpy.sqrt(5))/2
    print "Phi", phi

    This prints the golden mean:

    Phi 1.61803398875
    
  2. Find the index below...

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