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NumPy Cookbook

You're reading from  NumPy Cookbook

Product type Book
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Pages 226 pages
Edition 1st Edition
Languages

Table of Contents (17) Chapters

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts 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

Installing scikits-learn


The scikits-learn project aims to provide an API for machine learning. What I like most about it is the amazing documentation. We can install scikits-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 named python-sklearn. On MacPorts, the ports are named 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.

Getting ready

You need to have SciPy and NumPy installed. Go back to Chapter 1, Winding Along with Ipython, for instructions, if necessary.

How to do it...

Let us now see how we can install the scikits-learn project.

  • Installing with easy_install: We can install by typing any one of the following commands, at the...

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