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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

Finding prime factors


Prime factors (http://en.wikipedia.org/wiki/Prime_factor) are prime numbers that divide an integer exactly without a remainder. Finding prime factors seems almost impossible to crack. However, using the right algorithm—Fermat's factorization method (http://en.wikipedia.org/wiki/Fermat%27s_factorization_method) and NumPy—it becomes very easy. The idea is to factor a number N into two numbers c and d, according to the following equation:

We can apply the factorization recursively, until we get the required prime factors.

How to do it...

The algorithm requires us to try a number of trial values for a.

  1. Create an array of trial values.

    It makes sense to create a NumPy array and eliminate the need for loops. However, you should be careful to not create an array that is too big in terms of memory requirements. On my system, an array of a million elements seems to be just the right size:

    a = numpy.ceil(numpy.sqrt(n))
    lim = min(n, LIM)
    a = numpy.arange(a, a + lim)
    b2 = a ** 2 - n

    We...

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