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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

Summary


We calculated the correlation of the stock returns of two stocks with the corrcoef function. As a bonus, a demonstration of the diagonal and trace functions was given, which can give us the diagonal and trace of a matrix.

We fit data to a polynomial with the polyfit function. We learned about the polyval function that computes the values of a polynomial, the roots function that returns the roots of the polynomial, and the polyder function that gives back the derivative of a polynomial.

Hopefully, we increased our productivity so that we can continue in the next chapter with matrices and universal functions (ufuncs).

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