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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

Chapter 4. Convenience Functions for Your Convenience

As we have noticed, NumPy has a great number of functions. Many of these functions are there just for your convenience. Knowing these functions will greatly increase your productivity. This includes functions that select certain parts of your arrays (for instance, based on a Boolean condition) or manipulate polynomials. An example of computing correlation of stock returns is provided to give you a taste of data analysis in NumPy.

In this chapter, we shall cover the following topics:

  • Data selection and extraction

  • Simple data analysis

  • Examples of correlation of returns

  • Polynomials

  • Linear algebra functions

In the previous chapter, we had one single data file to play around with. Things have significantly improved in this chapter—we now have two data files. Let's go ahead and explore the data with NumPy.

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