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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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Toc

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

Finding Pythagorean triples


For this tutorial you may need to read the Wikipedia page about Pythagorean triple (for more information on Pythagorean triple visit http://en.wikipedia.org/wiki/Pythagorean_triple). Pythagorean triples are closely related to the Pythagorean Theorem, which you probably have learned about in high school geometry.

Pythagorean triples represent the three sides of a right triangle, and therefore, obey the Pythagorean Theorem. Let's find the Pythagorean triple that has a components sum of 1000. We will do this using Euclid's formula:

In this example we will see some universal functions in action.

How to do it...

The Euclid's formula defines indices m and n.

  1. Create m and n arrays.

    We will create arrays to hold these indices:

    m = numpy.arange(33)
    n = numpy.arange(33)
  2. Calculate a, b, and c of the Pythagorean triple.

    The second step is to calculate a, b, and c of the Pythagorean triple using Euclid's formula. Use the outer function to get the Cartesian products, difference, and...

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