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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

Artificial intelligence


Often we need to mimic intelligent behavior within a game. The scikit-learn project aims to provide an API for machine learning. What I like the most about it is the amazing documentation. We can install scikit-learn with the package manager of our operating system. This option may or may not be available depending on the operating system, but should be the most convenient route. Windows users can just download an installer from the project website.

On Debian and Ubuntu the project is called python-sklearn. On MacPorts the ports are called py26-scikits-learn and py27-scikits-learn. We can also install from source or using easy_install. There are third-party distributions from Python(x, y) – Enthought and NetBSD.

We can install scikit-learn by typing in the following command at the command line:

pip install -U scikit-learn

Or you can also do it with the following command:

easy_install -U scikit-learn

This might not work because of permissions, so you may need to put...

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