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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

Time for action – installing Python on different operating systems


NumPy has binary installers for Windows, various Linux distributions, and Mac OS X. There is also a source distribution, if you prefer that. You need to have Python 2.4.x or above installed on your system. We will go through the various steps required to install Python on the following operating systems:

  1. Debian and Ubuntu: Python might already be installed on Debian and Ubuntu but the development headers are usually not. On Debian and Ubuntu install python and python-dev with the following commands:

    sudo apt-get install python
    sudo apt-get install python-dev
    
  2. Windows: The Windows Python installer can be found at www.python.org/download. On this website, we can also find installers for Mac OS X and source tarballs for Linux, Unix, and Mac OS X.

  3. Mac: Python comes pre-installed on Mac OS X. We can also get Python through MacPorts, Fink, or similar projects. We can install, for instance, the Python 2.7 port by running the following command:

    sudo port install python27
    

    LAPACK does not need to be present but, if it is, NumPy will detect it and use it during the installation phase. It is recommended to install LAPACK for serious numerical analysis as it has useful numerical linear algebra functionality.

What just happened?

We installed Python on Debian, Ubuntu, Windows, and the Mac.

You have been reading a chapter from
NumPy Beginner's Guide - Second Edition
Published in: Apr 2013
Publisher: Packt
ISBN-13: 9781782166085
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